Turn off MathJax
Article Contents
Xue C D, Zheng X, Hu G Q. Anomalous diffusion and manipulation of nanoparticles in complex fluid environments. Advances in Mechanics, in press doi: 10.6052/1000-0992-26-004
Citation: Xue C D, Zheng X, Hu G Q. Anomalous diffusion and manipulation of nanoparticles in complex fluid environments. Advances in Mechanics, in press doi: 10.6052/1000-0992-26-004

Anomalous diffusion and manipulation of nanoparticles in complex fluid environments

doi: 10.6052/1000-0992-26-004 cstr: 32046.14.1000-0992-26-004
More Information
  • Corresponding author: ghu@zju.edu.cn
  • Received Date: 2026-01-24
  • Accepted Date: 2026-05-15
  • Available Online: 2026-06-02
  • The diffusive behavior of nanoparticles in complex fluid environments is widely observed in natural and industrial processes. In contrast to classical Brownian diffusion, nanoparticles in complex fluids exhibit anomalous diffusion characteristics. Understanding its mechanisms and developing control approaches hold significant scientific importance and application value across fields such as biology, physics, medicine, and engineering. This article provides a systematic review of the research progress on anomalous diffusion of nanoparticles in complex fluid environments. First, the core features of anomalous diffusion that go beyond classical Brownian motion are elucidated, and the main theoretical frameworks and research methods are outlined. Second, mechanisms and models of three specific types anomalous diffusion, i.e., subdiffusion, superdiffusion, and Brownian yet non-Gaussian diffusion, are introduced in detail. The regulation mechanisms of diffusion behavior based on external field effects and intelligent design are also explored from the perspective of the coupling of mechanics and statistical physics. Finally, key challenges and future directions in modeling, experimental analysis, and applications in this field are summarized.

     

  • loading
  • [1]
    Ahmadzadegan A, Mitra H, Vlachos P P, Ardekani A M. 2023. Particle image micro-rheology (PIR) using displacement probability density function. J. Rheol., 67: 823. doi: 10.1122/8.0000629
    [2]
    Akimoto T, Jeon J H, Metzler R, Miyaguchi T, Uneyama T, Yamamoto E. 2026. Anomalous statistics in the Langevin equation with fluctuating diffusivity: From brownian yet non-Gaussian diffusion to anomalous diffusion and ergodicity breaking. Rep. Prog. Phys., 89: 014602. doi: 10.1088/1361-6633/ae358c
    [3]
    Albrecht D, Winterflood C M, Sadeghi M, Tschager T, Noé F, Ewers H. 2016. Nanoscopic compartmentalization of membrane protein motion at the axon initial segment. J. Cell Biol., 215: 37-46. doi: 10.1083/jcb.201603108
    [4]
    Arcizet D, Meier B, Sackmann E, Rädler J O, Heinrich D. 2008. Temporal analysis of active and passive transport in living cells. Phys. Rev. Lett., 101: 248103. doi: 10.1103/PhysRevLett.101.248103
    [5]
    Arts M, Smal I, Paul M W, Wyman C, Meijering E. 2019. Particle mobility analysis using deep learning and the moment scaling spectrum. Sci. Rep., 9: 17160. doi: 10.1038/s41598-019-53663-8
    [6]
    Ashkin A. 1997. Optical trapping and manipulation of neutral particles using lasers. Proc. Natl. Acad. Sci. U. S. A., 94: 4853-4860. doi: 10.1073/pnas.94.10.4853
    [7]
    Ault J T, Shin S. 2025. Physicochemical hydrodynamics of particle diffusiophoresis driven by chemical gradients. Annu. Rev. Fluid Mech., 57: 227-255. doi: 10.1146/annurev-fluid-030424-110950
    [8]
    Bancaud A, Huet S, Daigle N, Mozziconacci J, Beaudouin J, Ellenberg J. 2009. Molecular crowding affects diffusion and binding of nuclear proteins in heterochromatin and reveals the fractal organization of chromatin. EMBO J., 28: 3785-3798. doi: 10.1038/emboj.2009.340
    [9]
    Banks D S, Fradin C. 2005. Anomalous diffusion of proteins due to molecular crowding. Biophys. J., 89: 2960-2971. doi: 10.1529/biophysj.104.051078
    [10]
    Banks D S, Tressler C, Peters R D, Hofling F, Fradin C. 2016. Characterizing anomalous diffusion in crowded polymer solutions and gels over five decades in time with variable-lengthscale fluorescence correlation spectroscopy. Soft Matter, 12: 4190-4203. doi: 10.1039/C5SM01213A
    [11]
    Barkai E, Burov S. 2020. Packets of diffusing particles exhibit universal exponential tails. Phys. Rev. Lett., 124: 060603. doi: 10.1103/PhysRevLett.124.060603
    [12]
    Barr J J, Auro R, Sam-Soon N, Kassegne S, Peters G, Bonilla N, Hatay M, Mourtada S, Bailey B, Youle M, Felts B, Baljon A, Nulton J, Salamon P, Rohwer F. 2015. Subdiffusive motion of bacteriophage in mucosal surfaces increases the frequency of bacterial encounters. Proc. Natl. Acad. Sci. U. S. A., 112: 13675-13680. doi: 10.1073/pnas.1508355112
    [13]
    Bauer T, Höfling F, Munk T, Frey E, Franosch T. 2010. The localization transition of the two-dimensional Lorentz model. Eur. Phys. J. Spec. Top., 189: 103-118. doi: 10.1140/epjst/e2010-01313-1
    [14]
    Bechinger C, Di Leonardo R, Löwen H, Reichhardt C, Volpe Giorgio, Volpe Giovanni. 2016. Active particles in complex and crowded environments. Rev. Mod. Phys., 88: 045006. doi: 10.1103/RevModPhys.88.045006
    [15]
    Bénichou O, Bodrova A, Chakraborty D, Illien P, Law A, Mejía-Monasterio C, Oshanin G, Voituriez R. 2013. Geometry-induced superdiffusion in driven crowded systems. Phys. Rev. Lett., 111: 260601. doi: 10.1103/PhysRevLett.111.260601
    [16]
    Bénichou O, Chevalier C, Klafter J, Meyer B, Voituriez R. 2010. Geometry-controlled kinetics. Nat. Chem., 2: 472-477. doi: 10.1038/nchem.622
    [17]
    Benichou O, Chevalier C, Meyer B, Voituriez R. 2011. Facilitated diffusion of proteins on chromatin. Phys. Rev. Lett., 106: 038102. doi: 10.1103/PhysRevLett.106.038102
    [18]
    Berg H C, Brown D A. 1972. Chemotaxis in escherichia coli analysed by three-dimensional tracking. Nature, 239: 500-504. doi: 10.1038/239500a0
    [19]
    Berkowitz B, Scher H. 1998. Theory of anomalous chemical transport in random fracture networks. Phys. Rev. E, 57: 5858-5869. doi: 10.1103/PhysRevE.57.5858
    [20]
    Blanco E, Shen H, Ferrari M. 2015. Principles of nanoparticle design for overcoming biological barriers to drug delivery. Nat. Biotech., 33: 941-951. doi: 10.1038/nbt.3330
    [21]
    Bouchaud J P, Georges A. 1990. Anomalous diffusion in disordered media: Statistical mechanisms, models and physical applications. Phys. Rep., 195: 127-293. doi: 10.1016/0370-1573(90)90099-N
    [22]
    Brackley C A, Cates M E, Marenduzzo D. 2013. Intracellular facilitated diffusion: Searchers, crowders, and blockers. Phys. Rev. Lett., 111: 108101. doi: 10.1103/PhysRevLett.111.108101
    [23]
    Brangwynne C P, Mitchison T J, Hyman A A. 2011. Active liquid-like behavior of nucleoli determines their size and shape in xenopus laevis oocytes. Proc. Natl. Acad. Sci. U. S. A., 108: 4334-4339. doi: 10.1073/pnas.1017150108
    [24]
    Braun M, Cichos F. 2013. Optically controlled thermophoretic trapping of single nano-objects. ACS Nano, 7: 11200-11208. doi: 10.1021/nn404980k
    [25]
    Brochard Wyart F, de Gennes P G. 2000. Viscosity at small scales in polymer melts. Eur. Phys. J. E, 1: 93-97. doi: 10.1142/9789812564849_0022
    [26]
    Bucci A, Tortarolo G, Held M O, Bega L, Perego E, Castagnetti F, Bozzoni I, Slenders E, Vicidomini G. 2024. 4D single-particle tracking with asynchronous read-out single-photon avalanche diode array detector. Nat. Commun., 15: 6188. doi: 10.1038/s41467-024-50512-9
    [27]
    Burov S, Jeon J H, Metzler R, Barkai E. 2011. Single particle tracking in systems showing anomalous diffusion: The role of weak ergodicity breaking. Phys. Chem. Chem. Phys., 13: 1800-1812. doi: 10.1039/c0cp01879a
    [28]
    Cahn D, Stern A, Buckenmeyer M, Wolf M, Duncan G A. 2024. Extracellular matrix limits nanoparticle diffusion and cellular uptake in a tissue-specific manner. ACS Nano, 18: 32045-32055. doi: 10.1021/acsnano.4c10381
    [29]
    Cai L H, Panyukov S, Rubinstein M. 2011. Mobility of spherical probe objects in polymer liquids. Macromolecules, 44: 7853-7863.
    [30]
    Cai L H, Panyukov S, Rubinstein M. 2015. Hopping diffusion of nanoparticles in polymer matrices. Macromolecules, 48: 847-862. doi: 10.1021/ma501608x
    [31]
    Cai W J, Hu Y, Qu X, Zhao H, Wang G Y, Li J, Huang Z H. 2025. Machine learning analysis of anomalous diffusion. Eur. Phys. J. Plus, 140: 183. doi: 10.1140/epjp/s13360-025-06138-x
    [32]
    Casalegno M, Raos G, Appetecchi G B, Passerini S, Castiglione F, Mele A. 2017. From nanoscale to microscale: Crossover in the diffusion dynamics within two pyrrolidinium-based ionic liquids. J. Phys. Chem. Lett., 8: 5196-5202. doi: 10.1021/acs.jpclett.7b02431
    [33]
    Caspi A, Granek R, Elbaum M. 2000. Enhanced diffusion in active intracellular transport. Phys. Rev. Lett., 85: 5655-5658. doi: 10.1103/PhysRevLett.85.5655
    [34]
    Cates M E, Tailleur J. 2015. Motility-induced phase separation. Annu. Rev. Condens. Matter Phys., 6: 219-244. doi: 10.1146/annurev-conmatphys-031214-014710
    [35]
    Chakrabarti R, Kesselheim S, Kosovan P, Holm C. 2013. Tracer diffusion in a crowded cylindrical channel. Phys. Rev. E, 87: 062709. doi: 10.1103/PhysRevE.87.062709
    [36]
    Chakraborty I, Roichman Y. 2020. Disorder-induced fickian, yet non-Gaussian diffusion in heterogeneous media. Phys. Rev. Res., 2: 022020. doi: 10.1103/PhysRevResearch.2.022020
    [37]
    Charbonneau P, Jin Y L, Parisi G, Zamponi F. 2014. Hopping and the Stokes-Einstein relation breakdown in simple glass formers. Proc. Natl. Acad. Sci. U. S. A., 111: 15025-15030. doi: 10.1073/pnas.1417182111
    [38]
    Chaudhuri P, Berthier L, Kob W. 2007. Universal nature of particle displacements close to glass and jamming transitions. Phys. Rev. Lett., 99: 060604. doi: 10.1103/PhysRevLett.99.060604
    [39]
    Chauhan V P, Stylianopoulos T, Boucher Y, Jain R K. 2011. Delivery of molecular and nanoscale medicine to tumors: Transport barriers and strategies. Annu. Rev. Chem. Biomol. Eng., 2: 281-298. doi: 10.1146/annurev-chembioeng-061010-114300
    [40]
    Chechkin A V, Seno F, Metzler R, Sokolov I M. 2017. Brownian yet non-Gaussian diffusion: From superstatistics to subordination of diffusing diffusivities. Phys. Rev. X, 7: 021002. doi: 10.1103/physrevx.7.021002
    [41]
    Chen D T, Weeks E R, Crocker J C, Islam M F, Verma R, Gruber J, Levine A J, Lubensky T C, Yodh A G. 2003. Rheological microscopy: Local mechanical properties from microrheology. Phys. Rev. Lett., 90: 108301. doi: 10.1103/PhysRevLett.90.108301
    [42]
    Chen P Y, Huang Z H, Liang J S, Cui T Q, Zhang X H, Miao B, Yan L T. 2016. Diffusion and directionality of charged nanoparticles on lipid bilayer membrane. ACS Nano, 10: 11541-11547. doi: 10.1021/acsnano.6b07563
    [43]
    Chen W, Liang Y J, Hu S, Sun H G. 2015. Fractional derivative anomalous diffusion equation modeling prime number distribution. Fract. Calc. Appl. Anal., 18: 789-798. doi: 10.1515/fca-2015-0047
    [44]
    Chen W, Sun H G, Zhang X D, Korosak D. 2010. Anomalous diffusion modeling by fractal and fractional derivatives. Comput. Math. App., 59: 1754-1758. doi: 10.1016/j.camwa.2009.08.020
    [45]
    Chen Y L, Xiang Z J, Ren H Z, Guo F Q, Ganesan V, Liu J. 2024. Anisotropic and non-Gaussian diffusion of thin nanorods in polymer networks. Macromolecules, 57: 5105-5118. doi: 10.1021/acs.macromol.4c00635
    [46]
    Cherstvy A G, Chechkin A V, Metzler R. 2013. Anomalous diffusion and ergodicity breaking in heterogeneous diffusion processes. New J. Phys., 15: 083039. doi: 10.1088/1367-2630/15/8/083039
    [47]
    Cherstvy A G, Metzler R. 2013. Population splitting, trapping, and non-Ergodicity in heterogeneous diffusion processes. Phys. Chem. Chem. Phys., 15: 20220-20235. doi: 10.1039/c3cp53056f
    [48]
    Cherstvy A G, Thapa S, Wagner C E, Metzler R. 2019. Non-Gaussian, non-ergodic, and non-fickian diffusion of tracers in mucin hydrogels. Soft Matter, 15: 2526-2551. doi: 10.1039/C8SM02096E
    [49]
    Choo P, Liu T T, Odom T W. 2021. Nanoparticle shape determines dynamics of targetingnanoconstructs on cell membranes. J. Am. Chem. Soc., 143: 4550-4555. doi: 10.1021/jacs.1c00850
    [50]
    Chubynsky M V, Slater G W. 2014. Diffusing diffusivity: A model for anomalous, yet brownian, diffusion. Phys. Rev. Lett., 113: 098302. doi: 10.1103/PhysRevLett.113.098302
    [51]
    Ciocanel M V, Ding L, Mastromatteo L, Reichheld S, Cabral S, Mowry K, Sandstede B. 2024. Parameter identifiability in PDE models of fluorescence recovery after photobleaching. Bull. Math. Biol., 86: 36. doi: 10.1007/s11538-024-01266-4
    [52]
    Crocker J C, Valentine M T, Weeks E R, Gisler T, Kaplan P D, Yodh A G, Weitz D A. 2000. Two-point microrheology of inhomogeneous soft materials. Phys. Rev. Lett., 85: 888-891. doi: 10.1103/PhysRevLett.85.888
    [53]
    Dai X B, Zhang X Y, Gao L J, Xu Z Y, Yan L T. 2022. Topology mediates transport of nanoparticles in macromolecular networks. Nat. Commun., 13: 4094. doi: 10.1038/s41467-022-31861-9
    [54]
    Dai Y K, Zhang R L, Sun W X, Wang T, Chen Y H, Tong Z. 2021. Dynamical heterogeneity in the gelation process of a polymer solution with a lower critical solution temperature. Soft Matter, 17: 3222-3233. doi: 10.1039/D0SM02159H
    [55]
    Das A, Sengupta P, Khanam J, Augustine R, Thakor A S, Thomas S, Roy S, Ghosal K. 2025. Magnetic nanoparticle as a new cutting-edge drug delivery and diagnostic platform: A review on its properties, synthesis, surface modification and applications. Carbohydr. Polym. Tech., 11: 100905. doi: 10.1016/j.carpta.2025.100905
    [56]
    Daumas F, Destainville N, Millot C, Lopez A, Dean D, Salomé L. 2003. Confined diffusion without fences of a G-protein-coupled receptor as revealed by single particle tracking. Biophys. J., 84: 356-366. doi: 10.1016/S0006-3495(03)74856-5
    [57]
    Dell Z E, Schweizer K S. 2014. Theory of localization and activated hopping of nanoparticles in cross-linked networks and entangled polymer melts. Macromolecules, 47: 405-414. doi: 10.1021/ma4021455
    [58]
    Démery V, Bénichou O, Jacquin H. 2014. Generalized Langevin equations for a driven tracer in dense soft colloids: Construction and applications. New J. Phys., 16: 053032. doi: 10.1088/1367-2630/16/5/053032
    [59]
    Destrian O, Moisan N, Mege R M, Ladoux B, Goyeau B, Chabanon M. 2026. Cytoplasmic crowding acts as a porous medium reducing macromolecule diffusion. Proc. Natl. Acad. Sci. U. S. A., 123: e2519599123. doi: 10.1073/pnas.2519599123
    [60]
    Dey K K, Sen A. 2017. Chemically propelled molecules and machines. J. Am. Chem. Soc., 139: 7666-7676. doi: 10.1021/jacs.7b02347
    [61]
    Dix J A, Verkman A S. 2008. Crowding effects on diffusion in solutions and cells. Annu. Rev. Biophys., 37: 247-263. doi: 10.1146/annurev.biophys.37.032807.125824
    [62]
    Drechsler M, Giavazzi F, Cerbino R, Palacios I M. 2017. Active diffusion and advection in drosophila oocytes result from the interplay of actin and microtubules. Nat. Commun., 8: 1520. doi: 10.1038/s41467-017-01414-6
    [63]
    Du Y F, Jiang H J, Hou Z H. 2019. Study of active brownian particle diffusion in polymer solutions. Soft Matter, 15: 2020-2031. doi: 10.1039/C8SM02292E
    [64]
    Dunkel J, Heidenreich S, Drescher K, Wensink H H, Bär M, Goldstein R E. 2013. Fluid dynamics of bacterial turbulence. Phys. Rev. Lett., 110: 228102. doi: 10.1103/PhysRevLett.110.228102
    [65]
    Einstein A. 1905. On the movement of small particles suspended in stationary liquids required by the molecular-kinetic theory of heat. Ann. Phys., 15: 549-560.
    [66]
    Ernst D, Hellmann M, Köhler J, Weiss M. 2012. Fractional brownian motion in crowded fluids. Soft Matter, 8: 4886. doi: 10.1039/c2sm25220a
    [67]
    Ernst D, Kohler J, Weiss M. 2014. Probing the type of anomalous diffusion with single-particle tracking. Phys. Chem. Chem. Phys., 16: 7686-7691. doi: 10.1039/C4CP00292J
    [68]
    Eshghi I, Zidovska A, Grosberg A Y. 2023. Activity-driven phase transition causes coherent flows of chromatin. Phys. Rev. Lett., 131: 048401. doi: 10.1103/PhysRevLett.131.048401
    [69]
    Evers F, Hanes R D L, Zunke C, Capellmann R F, Bewerunge J, Dalle-Ferrier C, Jenkins M C, Ladadwa I, Heuer A, Castañeda-Priego R, Egelhaaf S U. 2013. Colloids in light fields: Particle dynamics in random and periodic energy landscapes. Eur. Phys. J. Spec. Top., 222: 2995-3009. doi: 10.1140/epjst/e2013-02071-2
    [70]
    Falkovich G, Gawedzki K, Vergassola M. 2001. Particles and fields in fluid turbulence. Rev. Mod. Phys., 73: 913-975. doi: 10.1103/RevModPhys.73.913
    [71]
    Felfoul O, Mohammadi M, Taherkhani S, de Lanauze D, Xu Y Z, Loghin D, Essa S, Jancik S, Houle D, Lafleur M, Gaboury L, Tabrizian M, Kaou N, Atkin M, Vuong T, Batist G, Beauchemin N, Radzioch D, Martel S. 2016. Magneto-aerotactic bacteria deliver drug-containing nanoliposomes to tumour hypoxic regions. Nat. Nanotechnol., 11: 941-947. doi: 10.1038/nnano.2016.137
    [72]
    Feng C Q, Si X H, Li B T, Cao L M, Zhu J. 2021. An inverse problem to simulate the transport of chloride in concrete by time–space fractional diffusion model. Inverse Probl. Sci. Eng., 29: 2429-2445. doi: 10.1080/17415977.2021.1914606
    [73]
    Fernández Fernández G, Manzo C, Lewenstein M, Dauphin A, Muñoz Gil G. 2024. Learning minimal representations of stochastic processes with variational autoencoders. Phys. Rev. E, 110: L012102. doi: 10.1103/PhysRevE.110.L012102
    [74]
    Fodor É, Guo M, Gov N S, Visco P, Weitz D A, van Wijland F. 2015. Activity-driven fluctuations in living cells. Europhys. Lett., 110: 48005. doi: 10.1209/0295-5075/110/48005
    [75]
    Forte G, Cecconi F, Vulpiani A. 2014. Non-anomalous diffusion is not always Gaussian. Eur. Phys. J. B., 87: 102. doi: 10.1140/epjb/e2014-40956-0
    [76]
    Fujiwara T K, Iwasawa K, Kalay Z, Tsunoyama T A, Watanabe Y, Umemura Y M, Murakoshi H, Suzuki K G N, Nemoto Y L, Morone N, Kusumi A. 2016. Confined diffusion of transmembrane proteins and lipids induced by the same actin meshwork lining the plasma membrane. Mol. Biol. Cell., 27: 1101-1119. doi: 10.1091/mbc.E15-04-0186
    [77]
    Gao Y, Kilfoil M L. 2007. Direct imaging of dynamical heterogeneities near the colloid-gel transition. Phys. Rev. Lett., 99: 078301. doi: 10.1103/PhysRevLett.99.078301
    [78]
    Ge T, Grest G S, Rubinstein M. 2018. Nanorheology of entangled polymer melts. Phys. Rev. Lett., 120: 057801. doi: 10.1103/PhysRevLett.120.057801
    [79]
    Ghomian T, Hihath J. 2023. Review of dielectrophoretic manipulation of micro and nanomaterials: Fundamentals, recent developments, and challenges. IEEE Trans. Biomed. Eng., 70: 27-41. doi: 10.1109/TBME.2022.3183167
    [80]
    Ghosh S K, Cherstvy A G, Metzler R. 2015. Non-universal tracer diffusion in crowded media of non-inert obstacles. Phys. Chem. Chem. Phys., 17: 1847-1858. doi: 10.1039/C4CP03599B
    [81]
    Gnesotto F, Mura F, Gladrow J, Broedersz C P. 2018. Broken detailed balance and non-equilibrium dynamics in living systems. Rep. Prog. Phys., 81: 066601. doi: 10.1088/1361-6633/aab3ed
    [82]
    Golding I, Cox E C. 2006. Physical nature of bacterial cytoplasm. Phys. Rev. Lett., 96: 098102. doi: 10.1103/PhysRevLett.96.098102
    [83]
    Goldstein R E, Van De Meent J W. 2015. A physical perspective on cytoplasmic streaming. Interface Focus, 5: 20150030. doi: 10.1098/rsfs.2015.0030
    [84]
    Goldstein R E. 2015. Green algae as model organisms for biological fluid dynamics. Annu. Rev. Fluid Mech., 47: 343-375. doi: 10.1146/annurev-fluid-010313-141426
    [85]
    Goswami K, Cherstvy A G, Godec A, Metzler R. 2024. Anomalous diffusion of active brownian particles in responsive elastic gels: Nonergodicity, non-gaussianity, and distributions of trapping times. Phys. Rev. E, 110: 044609. doi: 10.1103/PhysRevE.110.044609
    [86]
    Goychuk I. 2009. Viscoelastic subdiffusion: From anomalous to normal. Phys. Rev. E, 80: 046125. doi: 10.1103/PhysRevE.80.046125
    [87]
    Grier D G. 2003. A revolution in optical manipulation. Nature, 424: 810-816. doi: 10.1038/nature01935
    [88]
    Guan J, Wang B, Granick S. 2014. Even hard-sphere colloidal suspensions display fickian yet non-Gaussian diffusion. ACS Nano, 8: 3331-3336. doi: 10.1021/nn405476t
    [89]
    Guerra L F, Muir T W, Yang H. 2019. Single-particle dynamic light scattering: Shapes of individual nanoparticles. Nano Lett., 19: 5530-5536. doi: 10.1021/acs.nanolett.9b02066
    [90]
    Guigas G, Kalla C, Weiss M. 2007. Probing the nanoscale viscoelasticity of intracellular fluids in living cells. Biophys. J., 93: 316-323. doi: 10.1529/biophysj.106.099267
    [91]
    Guo M, Ehrlicher A J, Jensen M H, Renz M, Moore J R, Goldman R D, Lippincott-Schwartz J, Mackintosh F C, Weitz D A. 2014. Probing the stochastic, motor-driven properties of the cytoplasm using force spectrum microscopy. Cell, 158: 822-832. doi: 10.1016/j.cell.2014.06.051
    [92]
    Han D, Korabel N, Chen R, Johnston M, Gavrilova A, Allan V J, Fedotov S, Waigh T A. 2020. Deciphering anomalous heterogeneous intracellular transport with neural networks. eLife, 9: e52224. doi: 10.7554/eLife.52224
    [93]
    Hao P T, Li S S, Xue C D, Qin K R. 2025. Spatial heterogeneity in hydrogels: Nanoparticle diffusivity as a probe for network dynamics. Microchem. J., 214: 114092. doi: 10.1016/j.microc.2025.114092
    [94]
    Harris T H, Banigan E J, Christian D A, Konradt C, Tait Wojno E D, Norose K, Wilson E H, John B, Weninger W, Luster A D, Liu A J, Hunter C A. 2012. Generalized Lévy walks and the role of chemokines in migration of effector CD8 + T cells. Nature, 486: 545-548. doi: 10.1038/nature11098
    [95]
    Havlin S, Ben-Avraham D. 1987. Diffusion in disordered media. Adv. Phys., 36: 695-798. doi: 10.1080/00018738700101072
    [96]
    He K, Babaye Khorasani F, Retterer S T, Thomas D K, Conrad J C, Krishnamoorti R. 2013. Diffusive dynamics of nanoparticles in arrays of nanoposts. ACS Nano, 7: 5122-5130. doi: 10.1021/nn4007303
    [97]
    He W, Song H, Su Y, Geng L, Ackerson B J, Peng H B, Tong P. 2016. Dynamic heterogeneity and non-gaussian statistics for acetylcholine receptors on live cell membrane. Nat. Commun., 7: 11701. doi: 10.1038/ncomms11701
    [98]
    He X C, Yang Y Y, Han Y L, Cao C Y, Zhang Z B, Li L X, Xiao C L, Guo H, Wang L, Han L C, Qu Z G, Liu N, Han S, Xu F. 2023. Extracellular matrix physical properties govern the diffusion of nanoparticles in tumor microenvironment. Proc. Natl. Acad. Sci. U. S. A., 120: e2209260120. doi: 10.1073/pnas.2209260120
    [99]
    He Y, Burov S, Metzler R, Barkai E. 2008. Random time-scale invariant diffusion and transport coefficients. Phys. Rev. Lett., 101: 058101. doi: 10.1103/PhysRevLett.101.058101
    [100]
    Heckert A, Dahal L, Tjian R, Darzacq X. 2022. Recovering mixtures of fast-diffusing states from short single-particle trajectories. eLife, 11: e70169. doi: 10.7554/eLife.70169
    [101]
    Hedges L O, Jack R L, Garrahan J P, Chandler D. 2009. Dynamic order-disorder in atomistic models of structural glass formers. Science, 323: 1309-1313. doi: 10.1126/science.1166665
    [102]
    Heinemann F, Vogel S K, Schwille P. 2013. Lateral membrane diffusion modulated by a minimal actin cortex. Biophys. J., 104: 1465-1475. doi: 10.1016/j.bpj.2013.02.042
    [103]
    Höfling F, Franosch T, Frey E. 2006. Localization transition of the three-dimensional Lorentz model and continuum percolation. Phys. Rev. Lett., 96: 165901. doi: 10.1103/PhysRevLett.96.165901
    [104]
    Höfling F, Franosch T. 2013. Anomalous transport in the crowded world of biological cells. Rep. Prog. Phys., 76: 046602. doi: 10.1088/0034-4885/76/4/046602
    [105]
    Hoshino T, Murakami D, Tanaka Y, Takata M, Jinnai H, Takahara A. 2013. Dynamical crossover between hyperdiffusion and subdiffusion of polymer-grafted nanoparticles in a polymer matrix. Phys. Rev. E, 88: 032602. doi: 10.1103/PhysRevE.88.032602
    [106]
    Hou S, Exell J, Welsher K. 2020. Real-time 3D single molecule tracking. Nat. Commun., 11: 3607. doi: 10.1038/s41467-020-17444-6
    [107]
    Howse J R, Jones R A L, Ryan A J, Gough T, Vafabakhsh R, Golestanian R. 2007. Self-motile colloidal particles: From directed propulsion to random walk. Phys. Rev. Lett., 99: 048102. doi: 10.1103/PhysRevLett.99.048102
    [108]
    Huang W Y C, Cheng X, Ferrell J E. 2022. Cytoplasmic organization promotes protein diffusion in xenopus extracts. Nat. Commun., 13: 5599. doi: 10.1038/s41467-022-33339-0
    [109]
    Hurtado P I, Berthier L, Kob W. 2007. Heterogeneous diffusion in a reversible gel. Phys. Rev. Lett., 98: 135503. doi: 10.1103/PhysRevLett.98.135503
    [110]
    Jain R, Sebastian K L. 2017. Diffusing diffusivity: Rotational diffusion in two and three dimensions. J. Chem. Phys., 146: 214102. doi: 10.1063/1.4984085
    [111]
    Jamali V, Hargus C, Ben Moshe A, Aghazadeh A, Ha H D, Mandadapu K K, Alivisatos A P. 2021. Anomalous nanoparticle surface diffusion in LCTEM is revealed by deep learning-assisted analysis. Proc. Natl. Acad. Sci. U. S. A., 118: e2017616118. doi: 10.1073/pnas.2017616118
    [112]
    Javer A, Long Z C, Nugent E, Grisi M, Siriwatwetchakul K, Dorfman K D, Cicuta P, Cosentino Lagomarsino M. 2013. Short-time movement of E. coli chromosomal loci depends on coordinate and subcellular localization. Nat. Commun., 4: 3003.
    [113]
    Jeon J H, Javanainen M, Martinez-Seara H, Metzler R, Vattulainen I. 2016. Protein crowding in lipid bilayers gives rise to non-gaussian anomalous lateral diffusion of phospholipids and proteins. Phys. Rev. X, 6: 021006. doi: 10.1103/physrevx.6.021006
    [114]
    Jeon J H, Leijnse N, Oddershede L B, Metzler R. 2013. Anomalous diffusion and power-law relaxation of the time averaged mean squared displacement in worm-like micellar solutions. New J. Phys., 15: 045011. doi: 10.1088/1367-2630/15/4/045011
    [115]
    Jeon J H, Tejedor V, Burov S, Barkai E, Selhuber Unkel C, Berg Sorensen K, Oddershede L, Metzler R. 2011. In vivo anomalous diffusion and weak ergodicity breaking of lipid granules. Phys. Rev. Lett., 106: 048103. doi: 10.1103/PhysRevLett.106.048103
    [116]
    Jiang C, Luo H Y, Xu X P, Dou S X, Li W, Guan D S, Ye F F, Chen X S, Guo M, Wang P Y, Li H. 2023. Switch of cell migration modes orchestrated by changes of three-dimensional lamellipodium structure and intracellular diffusion. Nat. Commun., 14: 5166. doi: 10.1038/s41467-023-40858-x
    [117]
    Jiang L, Granick S. 2017. Real-space, in situ maps of hydrogel pores. ACS Nano, 11: 204-212. doi: 10.1021/acsnano.6b04468
    [118]
    Joseph K, Igor M S. 2005. Anomalous diffusion spreads its wings. Phys. World., 18: 29.
    [119]
    Joseph Phillies G D. 2015. In complex fluids the gaussian diffusion approximation is generally invalid. Soft Matter, 11: 580-586. doi: 10.1039/C4SM02506G
    [120]
    Joshi K, York H M, Wright C S, Biswas R R, Arumugam S, Iyer-Biswas S. 2024. Emergent spatiotemporal organization in stochastic intracellular transport dynamics. Annu. Rev. Biophys., 53: 193-220. doi: 10.1146/annurev-biophys-030422-044448
    [121]
    Juan M L, Righini M, Quidant R. 2011. Plasmon nano-optical tweezers. Nat. Photon., 5: 349-356. doi: 10.1038/nphoton.2011.56
    [122]
    Kalathi J T, Yamamoto U, Schweizer K S, Grest G S, Kumar S K. 2014. Nanoparticle diffusion in polymer nanocomposites. Phys. Rev. Lett., 112: 108301. doi: 10.1103/PhysRevLett.112.108301
    [123]
    Kantor Y, Kardar M. 2004. Anomalous dynamics of forced translocation. Phys. Rev. E, 69: 021806. doi: 10.1103/PhysRevE.69.021806
    [124]
    Kegel W K. 2000. Direct observation of dynamical heterogeneities in colloidal hard-sphere suspensions. Science, 287: 290-293. doi: 10.1126/science.287.5451.290
    [125]
    Khair A S, Squires T M. 2009. The influence of hydrodynamic slip on the electrophoretic mobility of a spherical colloidal particle. Phys. Fluids, 21: 042001. doi: 10.1063/1.3116664
    [126]
    Kim J, Kim C, Sung B J. 2013. Simulation study of seemingly fickian but heterogeneous dynamics of two dimensional colloids. Phys. Rev. Lett., 110: 047801. doi: 10.1103/PhysRevLett.110.047801
    [127]
    Kim K, Guo J H, Liang Z X, Fan D L. 2018. Artificial micro/nanomachines for bioapplications: Biochemical delivery and diagnostic sensing. Adv. Funct. Mater., 28: 1705867. doi: 10.1002/adfm.201705867
    [128]
    Korabel N, Waigh T A. 2025. Deep learning for heterogeneous anomalous dynamics in cellular and molecular biology. Cell Rep. Phys. Sci., 6: 102891. doi: 10.1016/j.xcrp.2025.102891
    [129]
    Kostko A F, Anisimov M A, Sengers J V. 2007. Dynamics of critical fluctuations in polymer solutions. Phys. Rev. E, 76: 021804. doi: 10.1103/PhysRevE.76.021804
    [130]
    Kou S C, Xie X S. 2004. Generalized Langevin equation with fractional gaussian noise: Subdiffusion within a single protein molecule. Phys. Rev. Lett., 93: 180603. doi: 10.1103/PhysRevLett.93.180603
    [131]
    Kowalek P, Loch Olszewska H, Szwabiński J. 2019. Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach. Phys. Rev. E, 100: 032410. doi: 10.1103/PhysRevE.100.032410
    [132]
    Kozlov A S, Andor-Ardo D, Hudspeth A J. 2012. Anomalous brownian motion discloses viscoelasticity in the ear’s mechanoelectrical-transduction apparatus. Proc. Natl. Acad. Sci. U. S. A., 109: 2896-2901. doi: 10.1073/pnas.1121389109
    [133]
    Kumar Y, Sinha A S K, Nigam K D P, Dwivedi D, Sangwai J S. 2023. Functionalized nanoparticles: Tailoring properties through surface energetics and coordination chemistry for advanced biomedical applications. Nanoscale, 15: 6075-6104. doi: 10.1039/D2NR07163K
    [134]
    Kusumi A, Fujiwara T K, Chadda R, Xie M, Tsunoyama T A, Kalay Z, Kasai R S, Suzuki K G N. 2012. Dynamic organizing principles of the plasma membrane that regulate signal transduction: commemorating the fortieth anniversary of singer and nicolson’s fluid-mosaic model. Annu. Rev. Cell Dev. Biol., 28: 215-250. doi: 10.1146/annurev-cellbio-100809-151736
    [135]
    Kusumi A, Nakada C, Ritchie K, Murase K, Suzuki K, Murakoshi H, Kasai R S, Kondo J, Fujiwara T. 2005. Paradigm shift of the plasma membrane concept from the two-dimensional continuum fluid to the partitioned fluid: High-speed single-molecule tracking of membrane molecules. Annu. Rev. Biophys. Biomol. Struct., 34: 351-78. doi: 10.1146/annurev.biophys.34.040204.144637
    [136]
    Kusumi A, Sako Y, Yamamoto M. 1993. Confined lateral diffusion of membrane receptors as studied by single particle tracking (nanovid microscopy). Effects of calcium-induced differentiation in cultured epithelial cells. Biophys. J., 65: 2021-2040.
    [137]
    Kwon G, Sung B J, Yethiraj A. 2014. Dynamics in crowded environments: Is non-Gaussian Brownian diffusion normal? J. Phys. Chem. B, 118: 8128-8134. doi: 10.1021/jp5011617
    [138]
    Lai S K, Wang Y Y, Wirtz D, Hanes J. 2009. Micro- and macrorheology of mucus. Adv. Drug. Deliv. Rev., 61: 86-100. doi: 10.1016/j.addr.2008.09.012
    [139]
    Langevin P. 1908. Sur la théorie du mouvement brownien. C. R. Acad. Sci., 146: 530-533. doi: 10.1051/jphysrad:019200010206300
    [140]
    Langford G M. 1995. Actin- and microtubule-dependent organelle motors: Interrelationships between the two motility systems. Curr. Opin. Cell Biol., 7: 82-88. doi: 10.1016/0955-0674(95)80048-4
    [141]
    Li D Z, Yao Q J, Huang Z H. 2021. WaveNet-based deep neural networks for the characterization of anomalous diffusion (WADNet). J. Phys. A: Math. Theor., 54: 404003.
    [142]
    Li H, Dou S X, Liu Y R, Li W, Xie P, Wang W C, Wang P Y. 2015. Mapping intracellular diffusion distribution using single quantum dot tracking: Compartmentalized diffusion defined by endoplasmic reticulum. J. Am. Chem. Soc., 137: 436-44. doi: 10.1021/ja511273c
    [143]
    Li W, Xu K. 2025. Super-resolution mapping and quantification of molecular diffusion via single-molecule displacement/diffusivity mapping (SMdM). Acc. Chem. Research, 58: 1224-1235. doi: 10.1021/acs.accounts.4c00850
    [144]
    Lim C, Jeon J H. 2025. Anomalous diffusion in coupled viscoelastic media: A fractional Langevin equation approach. Phys. Rev. Research, 7: 043356 doi: 10.1103/thv9-s9mq
    [145]
    Liu C, Zhao J X, Tian F, Cai L L, Zhang W, Feng Q, Chang J Q, Wan F N, Yang Y J, Dai B, Cong Y L, Ding B Q, Sun J S, Tan W H. 2019. Low-cost thermophoretic profiling of extracellular-vesicle surface proteins for the early detection and classification of cancers. Nat. Biomed. Eng., 3: 183-193. doi: 10.1038/s41551-018-0343-6
    [146]
    Lorentz H A. 1905. The motion of electrons in metallic bodies I. Proc. R. Netherlands Acad. Arts Sci., 7: 438-453.
    [147]
    Loverdo C, Bénichou O, Moreau M, Voituriez R. 2008. Enhanced reaction kinetics in biological cells. Nat. Phys., 4: 134-137. doi: 10.1038/nphys830
    [148]
    Lu J R, Robert D, Nguyen T H, Gallet F, Wilhelm C. 2010. In vivo determination of fluctuating forces during endosome trafficking using a combination of active and passive microrheology. PLoS One, 5: e10046. doi: 10.1371/journal.pone.0010046
    [149]
    Lu Q, Solomon M J. 2002. Probe size effects on the microrheology of associating polymer solutions. Phys. Rev. E, 66: 061504. doi: 10.1103/PhysRevE.66.061504
    [150]
    Luby-Phelps K, Mujumdar S, Mujumdar R B, Ernst L A, Galbraith W, Waggoner A S. 1993. A novel fluorescence ratiometric method confirms the low solvent viscosity of the cytoplasm. Biophys. J., 65: 236-242. doi: 10.1016/s0006-3495(93)81075-0
    [151]
    Luby-Phelps K, Taylor D L, Lanni F. 1986. Probing the structure of cytoplasm. J. Cell Biol., 102: 2015-2022. doi: 10.1083/jcb.102.6.2015
    [152]
    Lucas J S, Zhang Y J, Dudko O K, Murre C. 2014. 3D trajectories adopted by coding and regulatory DNA elements: First-passage times for genomic interactions. Cell, 158: 339-352. doi: 10.1016/j.cell.2014.05.036
    [153]
    Lutz E. 2001. Fractional Langevin equation. Phys. Rev. E, 64: 051106. doi: 10.1103/PhysRevE.64.051106
    [154]
    Magdziarz M, Weron A, Burnecki K, Klafter J. 2009. Fractional brownian motion versus the continuous-time random walk: A simple test for subdiffusive dynamics. Phys. Rev. Lett., 103: 180602. doi: 10.1103/PhysRevLett.103.180602
    [155]
    Mandelbrot B B, Van Ness J W. 1968. Fractional brownian motions, fractional noises and applications. SIAM Rev., 10: 422-437. doi: 10.1137/1010093
    [156]
    Mangalam M, Metzler R, Kelty-Stephen D G. 2023. Ergodic characterization of nonergodic anomalous diffusion processes. Phys. Rev. Research, 5: 023144. doi: 10.1103/PhysRevResearch.5.023144
    [157]
    Mankin R, Laas K, Lumi N. 2013. Memory effects for a trapped brownian particle in viscoelastic shear flows. Phys. Rev. E, 88: 042142. doi: 10.1103/PhysRevE.88.042142
    [158]
    Manzo C, Garcia-Parajo M F. 2015. A review of progress in single particle tracking: From methods to biophysical insights. Rep. Prog. Phys., 78: 124601.
    [159]
    Manzo C, Torreno-Pina J A, Massignan P, Lapeyre G J, Lewenstein M, Garcia Parajo M F. 2015. Weak ergodicity breaking of receptor motion in living cells stemming from random diffusivity. Phys. Rev. X, 5: 011021. doi: 10.1016/j.bpj.2014.11.2288
    [160]
    Mao R F, Pretti E, Mittal J. 2021. Temperature-controlled reconfigurable nanoparticle binary superlattices. ACS Nano, 15: 8466-8473. doi: 10.1021/acsnano.0c10874
    [161]
    Marchetti M C, Joanny J F, Ramaswamy S, Liverpool T B, Prost J, Rao M, Simha R A. 2013. Hydrodynamics of soft active matter. Rev. Mod. Phys., 85: 1143-1189. doi: 10.1103/RevModPhys.85.1143
    [162]
    Marel A K, Zorn M, Klingner C, Wedlich-Söldner R, Frey E, Rädler J O. 2014. Flow and diffusion in channel-guided cell migration. Biophys. J., 107: 1054-1064. doi: 10.1016/j.bpj.2014.07.017
    [163]
    Marshall J S. 2016. A model of ultrasound-enhanced diffusion in a biofilm. J. Acoust. Soc. Am., 139: EL228-EL233.
    [164]
    Mason T G, Ganesan K, van Zanten J H, Wirtz D, Kuo S C. 1997. Particle tracking microrheology of complex fluids. Phys. Rev. Lett., 79: 3282-3285. doi: 10.1103/PhysRevLett.79.3282
    [165]
    Mason T G, Weitz D A. 1995. Optical measurements of frequency-dependent linear viscoelastic moduli of complex fluids. Phys. Rev. Lett., 74: 1250-1253. doi: 10.1103/PhysRevLett.74.1250
    [166]
    Mejía Monasterio C, Metzler R, Vollmer J. 2020. Editorial: Anomalous transport: Applications, mathematical perspectives, and big data. Front. Phys., 8: 622417. doi: 10.3389/fphy.2020.622417
    [167]
    Meroz Y, Sokolov I M. 2015. A toolbox for determining subdiffusive mechanisms. Phys. Rep., 573: 1-29.
    [168]
    Metzler R, Jeon J H, Cherstvy A G, Barkai E. 2014. Anomalous diffusion models and their properties: Non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking. Phys. Chem. Chem. Phys., 16: 24128-24164. doi: 10.1039/C4CP03465A
    [169]
    Metzler R, Klafter J. 2000. The random walk’s guide to anomalous diffusion: A fractional dynamics approach. Phys. Rep., 339: 1-77. doi: 10.1016/s0370-1573(00)00070-3
    [170]
    Metzler R. 2019. Brownian motion and beyond: First-passage, power spectrum, non-Gaussianity, and anomalous diffusion. J. Stat. Mech-Theory E, 2019: 114003. doi: 10.1088/1742-5468/ab4988
    [171]
    Meyvis T K L, De Smedt S C, Van Oostveldt P, Demeester J. 1999. Fluorescence recovery after photobleaching: A versatile tool for mobility and interaction measurements in pharmaceutical research. Pharm. Res., 16: 1153-1162. doi: 10.1023/A:1011924909138
    [172]
    Mignot T, Shaevitz J W. 2008. Active and passive mechanisms of intracellular transport and localization in bacteria. Curr. Opin. Microbiol., 11: 580-585. doi: 10.1016/j.mib.2008.10.005
    [173]
    Montroll E W, Weiss G H. 1965. Random walks on lattices. II. J. Math. Phys., 6: 167-181.
    [174]
    Moran J L, Posner J D. 2017. Phoretic self-propulsion. Annu. Rev. Fluid Mech., 49: 511-540. doi: 10.1146/annurev-fluid-122414-034456
    [175]
    Morozov A, Marenduzzo D. 2014. Enhanced diffusion of tracer particles in dilute bacterial suspensions. Soft Matter, 10: 2748. doi: 10.1039/c3sm52201f
    [176]
    Moschakis T. 2013. Microrheology and particle tracking in food gels and emulsions. Curr. Opin. Colloid In., 18: 311-323. doi: 10.1016/j.cocis.2013.04.011
    [177]
    Muñoz Gil G, Bachimanchi H, Pineda J, Midtvedt B, Fernández Fernández G, Requena B, Ahsini Y, Asghar S, Bae J, Barrantes F J, Bender S W B, Cabriel C, Conejero J A, Escoto M, Feng X C, Haidari R, Hatzakis N S, Huang Z H, Izeddin I, Jeong H, Jiang Y, Kæstel Hansen J, Miné Hattab J, Ni R, Park J, Qu X, Saavedra L A, Sha H, Sokolovska N, Zhang Y B, Volpe Giorgio, Lewenstein M, Metzler R, Krapf D, Volpe Giovanni, Manzo C. 2025. Quantitative evaluation of methods to analyze motion changes in single-particle experiments. Nat. Commun., 16: 6749. doi: 10.1038/s41467-025-61949-x
    [178]
    Muñoz Gil G, Garcia March M A, Manzo C, Martín Guerrero J D, Lewenstein M. 2020. Single trajectory characterization via machine learning. New J. Phys., 22: 013010. doi: 10.1088/1367-2630/ab6065
    [179]
    Muñoz Gil G, Volpe Giovanni, Garcia March M A, Aghion E, Argun A, Hong C B, Bland T, Bo S, Conejero J A, Firbas N, Garibo I Orts Ò, Gentili A, Huang Z H, Jeon J H, Kabbech H, Kim Y, Kowalek P, Krapf D, Loch Olszewska H, Lomholt M A, Masson J B, Meyer P G, Park S, Requena B, Smal I, Song T, Szwabiński J, Thapa S, Verdier H, Volpe Giorgio, Widera A, Lewenstein M, Metzler R, Manzo C. 2021. Objective comparison of methods to decode anomalous diffusion. Nat. Commun., 12: 6253. doi: 10.1038/s41467-021-26320-w
    [180]
    Mura S, Nicolas J, Couvreur P. 2013. Stimuli-responsive nanocarriers for drug delivery. Nat. Mater., 12: 991-1003. doi: 10.1038/nmat3776
    [181]
    Nehme E, Weiss L E, Michaeli T, Shechtman Y. 2018. Deep-STORM: Super-resolution single-molecule microscopy by deep learning. Optica, 5: 458-464. doi: 10.1364/OPTICA.5.000458
    [182]
    Nelson B J, Pané S. 2023. Delivering drugs with microrobots. Science, 382: 1120-1122. doi: 10.1126/science.adh3073
    [183]
    Nishizawa K, Bremerich M, Ayade H, Schmidt C F, Ariga T, Mizuno D. 2017. Feedback-tracking microrheology in living cells. Sci. Adv., 3: e1700318. doi: 10.1126/sciadv.1700318
    [184]
    Norregaard K, Metzler R, Ritter C M, Berg-Sørensen K, Oddershede L B. 2017. Manipulation and motion of organelles and single molecules in living cells. Chem. Rev., 117: 4342-4375. doi: 10.1021/acs.chemrev.6b00638
    [185]
    Ochab Marcinek A, Hołyst R. 2011. Scale-dependent diffusion of spheres in solutions of flexible and rigid polymers: Mean square displacement and autocorrelation function for FCS and DLS measurements. Soft Matter, 7: 7366-7374. doi: 10.1039/c1sm05217a
    [186]
    Oleg K, Grégoire B. 2002. Fluorescence correlation spectroscopy: The technique and its applications. Rep. Prog. Phys., 65: 251. doi: 10.1088/0034-4885/65/2/203
    [187]
    Palacci J, Sacanna S, Steinberg A P, Pine D J, Chaikin P M. 2013. Living crystals of light-activated colloidal surfers. Science, 339: 936-940. doi: 10.1126/science.1230020
    [188]
    Pankhurst Q A, Connolly J, Jones S K, Dobson J. 2003. Applications of magnetic nanoparticles in biomedicine. J. Phys. D: Appl. Phys., 36: R167. doi: 10.1088/0022-3727/36/13/201
    [189]
    Park S, Thapa S, Kim Y, Lomholt M A, Jeon J H. 2021. Bayesian inference of Lévy walks via hidden markov models. J. Phys. A-Math. Theor., 54: 484001. doi: 10.1088/1751-8121/ac31a1
    [190]
    Pastore R, Ciarlo A, Pesce G, Greco F, Sasso A. 2021. Rapid fickian yet non-gaussian diffusion after subdiffusion. Phys. Rev. Lett., 126: 158003. doi: 10.1103/PhysRevLett.126.158003
    [191]
    Pechukas P. 1967. Generalized Langevin equation of mori and kubo. Phys. Rev., 164: 174-175. doi: 10.1103/PhysRev.164.174
    [192]
    Percus J K. 1974. Anomalous self-diffusion for one-dimensional hard cores. Phys. Rev. A, 9: 557-559. doi: 10.1103/physreva.9.557
    [193]
    Peulen T O, Wilkinson K J. 2011. Diffusion of nanoparticles in a biofilm. Environ. Sci. Technol., 45: 3367-3373. doi: 10.1021/es103450g
    [194]
    Pineda J, Midtvedt B, Bachimanchi H, Noé S, Midtvedt D, Volpe G, Manzo C. 2023. Geometric deep learning reveals the spatiotemporal features of microscopic motion. Nat. Mach. Intell., 5: 71-82. doi: 10.1038/s42256-022-00595-0
    [195]
    Pinholt H D, Bohr S S R, Iversen J F, Boomsma W, Hatzakis N S. 2021. Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion. Proc. Natl. Acad. Sci. U. S. A., 118: e2104624118. doi: 10.1073/pnas.2104624118
    [196]
    Piskorz T K, Ochab Marcinek A. 2014. A universal model of restricted diffusion for fluorescence correlation spectroscopy. J. Phys. Chem. B, 118: 4906-4912. doi: 10.1021/jp502467u
    [197]
    Pronk S, Lindahl E, Kasson P M. 2014. Dynamic heterogeneity controls diffusion and viscosity near biological interfaces. Nat. Commun., 5: 3034. doi: 10.1038/ncomms4034
    [198]
    Qu H C, Yang Y, Cui Z C, Wang D, Xue C D, Qin K R. 2023. Temperature-mediated diffusion of nanoparticles in semidilute polymer solutions. Electrophoresis, 44: 1899-1906. doi: 10.1002/elps.202300054
    [199]
    Qu X, Hu Y, Cai W J, Xu Y, Ke H, Zhu G L, Huang Z H. 2024. Semantic segmentation of anomalous diffusion using deep convolutional networks. Phys. Rev. Research, 6: 013054. doi: 10.1103/PhysRevResearch.6.013054
    [200]
    R Kubo. 1966. The fluctuation-dissipation theorem. Rep. Prog. Phys., 29: 255. doi: 10.1088/0034-4885/29/1/306
    [201]
    Ren Y T, Chen Q, He M J, Zhang X Z, Qi H, Yan Y Y. 2021. Plasmonic optical tweezers for particle manipulation: Principles, methods, and applications. ACS Nano, 15: 6105-6128. doi: 10.1021/acsnano.1c00466
    [202]
    Requena B, Masó S, Bertran J, Lewenstein M, Manzo C, Muñoz Gil G. 2023. Inferring pointwise diffusion properties of single trajectories with deep learning. Biophys. J., 122: 4360-4369. doi: 10.1016/j.bpj.2023.10.015
    [203]
    Reverey J F, Jeon J H, Bao H, Leippe M, Metzler R, Selhuber-Unkel C. 2015. Superdiffusion dominates intracellular particle motion in the supercrowded cytoplasm of pathogenic acanthamoeba castellanii. Sci. Rep., 5: 11690. doi: 10.1038/srep11690
    [204]
    Reyes-Ortega F. 2014. Smart polymers and their applications. Woodhead Publishing.
    [205]
    Reynolds A M, Rhodes C J. 2009. The Lévy flight paradigm: Random search patterns and mechanisms. Ecology, 90: 877-887. doi: 10.1890/08-0153.1
    [206]
    Richardson L F. 1926. Atmospheric diffusion shown on a distance-neighbour graph. Proc. R. Soc. Lond. A, 110: 709-737.
    [207]
    Romanczuk P, Bär M, Ebeling W, Lindner B, Schimansky-Geier L. 2012. Active brownian particles: From individual to collective stochastic dynamics. Eur. Phys. J. Spec. Top., 202: 1-162.
    [208]
    Russo A, Durán-Olivencia M A, Kevrekidis I G, Kalliadasis S. 2024. Machine learning memory kernels as closure for non-markovian stochastic processes. IEEE Trans. Neural Netw. Learning Syst., 35: 6531-6543. doi: 10.1109/TNNLS.2022.3210695
    [209]
    Mogre S, Brown A I, Koslover E F. 2020. Getting around the cell: Physical transport in the intracellular world. Phys. Biol., 17: 061003. doi: 10.1088/1478-3975/aba5e5
    [210]
    Sabri A, Xu X R, Krapf D, Weiss M. 2020. Elucidating the origin of heterogeneous anomalous diffusion in the cytoplasm of mammalian cells. Phys. Rev. Lett., 125: 058101. doi: 10.1103/PhysRevLett.125.058101
    [211]
    Safdar M, Khan S U, Jänis J. 2018. Progress toward catalytic micro- and nanomotors for biomedical and environmental applications. Adv. Mater., 30: 1703660. doi: 10.1002/adma.201703660
    [212]
    Sakamoto K, Akimoto T, Muramatsu M, Sansom M S P, Metzler R, Yamamoto E. 2023. Heterogeneous biological membranes regulate protein partitioning via fluctuating diffusivity. PNAS Nexus., 2: pgad258. doi: 10.1093/pnasnexus/pgad258
    [213]
    Sakaue T, Saito T. 2016. Active diffusion of model chromosomal loci driven by athermal noise. Soft Matter, 13: 81-87.
    [214]
    Saltzman E J, Schweizer K S. 2008. Large-amplitude jumps and non-gaussian dynamics in highly concentrated hard sphere fluids. Phys. Rev. E, 77: 051504. doi: 10.1103/PhysRevE.77.051504
    [215]
    Samanta N, Chakrabarti R. 2016. Tracer diffusion in a sea of polymers with binding zones: Mobile vs. frozen traps. Soft Matter, 12: 8554-8563. doi: 10.1039/c6sm01943a
    [216]
    Sandev T, Metzler R, Chechkin A. 2018. From continuous time random walks to the generalized diffusion equation. Fract. Calc. Appl. Anal., 21: 10-28. doi: 10.1515/fca-2018-0002
    [217]
    Sarmiento Gomez E, Santamaria Holek I, Castillo R. 2014. Mean-square displacement of particles in slightly interconnected polymer networks. J Phys. Chem. B, 118: 1146-1158. doi: 10.1021/jp4105344
    [218]
    Sawford B. 2001. Turbulent relative dispersion. Annu. Rev. Fluid Mech., 33: 289-317.
    [219]
    Saxton M J. 1994. Anomalous diffusion due to obstacles: A monte carlo study. Biophys. J., 66: 394-401. doi: 10.1016/s0006-3495(94)80789-1
    [220]
    Saxton M J. 1996. Anomalous diffusion due to binding: A monte carlo study. Biophys. J., 70: 1250-1262. doi: 10.1016/s0006-3495(96)79682-0
    [221]
    Saxton M J. 2007. A biological interpretation of transient anomalous subdiffusion. I. Qualitative model. Biophys. J., 92: 1178-1191.
    [222]
    Saxton M J. 2008. Single-particle tracking: Connecting the dots. Nat. Methods, 5: 671-672. doi: 10.1038/nmeth0808-671
    [223]
    Schimek N, Wood T R, Beck D A C, McKenna M, Toghani A, Nance E. 2024. High-fidelity predictions of diffusion in the brain microenvironment. Biophys. J., 123: 3935-3950. doi: 10.1016/j.bpj.2024.10.005
    [224]
    Schütz G J, Schindler H, Schmidt T. 1997. Single-molecule microscopy on model membranes reveals anomalous diffusion. Biophys. J., 73: 1073-1080.
    [225]
    Schweitzer F, Ebeling W, Tilch B. 1998. Complex motion of brownian particles with energy depots. Phys. Rev. Lett., 80: 5044-5047. doi: 10.1103/PhysRevLett.80.5044
    [226]
    Seckler H, Metzler R. 2022. Bayesian deep learning for error estimation in the analysis of anomalous diffusion. Nat. Commun., 13: 6717. doi: 10.1038/s41467-022-34305-6
    [227]
    Shaban H A, Seeber A. 2020. Monitoring the spatio-temporal organization and dynamics of the genome. Nucleic Acids Res., 48: 3423-3434. doi: 10.1093/nar/gkaa135
    [228]
    Shabeeb Z, Goyal N, Attah Nantogmah P, Jamali V. 2025. Learning the diffusion of nanoparticles in liquid phase TEM via physics-informed generative AI. Nat. Commun., 16: 6298. doi: 10.1038/s41467-025-61632-1
    [229]
    Shen H, Tauzin L J, Baiyasi R, Wang W X, Moringo N, Shuang B, Landes C F. 2017. Single particle tracking: From theory to biophysical applications. Chem. Rev., 117: 7331-7376. doi: 10.1021/acs.chemrev.6b00815
    [230]
    Singh D, Singh L. 2025. A pioneering review on quantitative analysis of the effect of macromolecular crowding on drug transport and release: Current implications. J. Macromol. Sci. B, 64: 902-916. doi: 10.1080/00222348.2024.2371245
    [231]
    Skaug M J, Wang L, Ding Y F, Schwartz D K. 2015. Hindered nanoparticle diffusion and void accessibility in a three-dimensional porous medium. ACS Nano, 9: 2148-2156. doi: 10.1021/acsnano.5b00019
    [232]
    Song D L, Zhang X, Li B Y, Sun Y F, Mei H H, Cheng X J, Li J M, Cheng X D, Fang N. 2024. Deep learning-assisted automated multidimensional single particle tracking in living cells. Nano Lett., 24: 3082-3088. doi: 10.1021/acs.nanolett.3c04870
    [233]
    Soula H, Care B, Beslon G, Berry H. 2013. Anomalous versus slowed-down brownian diffusion in the ligand-binding equilibrium. Biophys. J., 105: 2064-2073. doi: 10.1016/j.bpj.2013.07.023
    [234]
    Sposini V, Chechkin A, Seno F, Pagnini G, Metzler R. 2018. Random diffusivity from stochastic equations: Comparison of two models for brownian yet non-gaussian diffusion. New J. Phys., 20: 043044.
    [235]
    Sposini V, Krapf D, Marinari E, Sunyer R, Ritort F, Taheri F, Selhuber-Unkel C, Benelli R, Weiss M, Metzler R, Oshanin G. 2022. Towards a robust criterion of anomalous diffusion. Commun. Phys., 5: 305. doi: 10.1038/s42005-022-01079-8
    [236]
    Sprakel J, van der Gucht J, Cohen Stuart M A, Besseling N A. 2008. Brownian particles in transient polymer networks. Phys. Rev. E, 77: 061502. doi: 10.1103/PhysRevE.77.061502
    [237]
    Squires T M, Bazant M Z. 2004. Induced-charge electro-osmosis. J. Fluid Mech., 509: 217-252. doi: 10.1007/springerreference_66922
    [238]
    Squires T M, Mason T G. 2010. Fluid mechanics of microrheology. Annu. Rev. Fluid Mech., 42: 413-438. doi: 10.1146/annurev-fluid-121108-145608
    [239]
    Stempfle B, Große A, Ferse B, Arndt K F, Wöll D. 2014. Anomalous diffusion in thermoresponsive polymer–clay composite hydrogels probed by wide-field fluorescence microscopy. Langmuir, 30: 14056-14061. doi: 10.1021/la503571j
    [240]
    Stoop R L, Straube A V, Tierno P. 2019. Enhancing nanoparticle diffusion on a unidirectional domain wall magnetic ratchet. Nano Lett., 19: 433-440. doi: 10.1021/acs.nanolett.8b04248
    [241]
    Sun S W, Zhang K, Xu S, Shi X H, Wang J L. 2025. Diffusion of nanosheets in unentangled polymer melts. ACS Macro Lett, 14: 284-291
    [242]
    Szymanski J, Weiss M. 2009. Elucidating the origin of anomalous diffusion in crowded fluids. Phys. Rev. Lett., 103: 038102. doi: 10.1103/PhysRevLett.103.038102
    [243]
    Tsallis C, Levy S V, Souza A M, Maynard R. 1995. Statistical-mechanical foundation of the ubiquity of Lévy distributions in nature. Phys. Rev. Lett., 75: 3589-3593. doi: 10.1103/PhysRevLett.75.3589
    [244]
    Tuteja A, Mackay M E, Narayanan S, Asokan S, Wong M S. 2007. Breakdown of the continuum Stokes−Einstein relation for nanoparticle diffusion. Nano Lett., 7: 1276-1281. doi: 10.1021/nl070192x
    [245]
    Uhlenbeck G E, Ornstein L S. 1930. On the theory of the brownian motion. Phys. Rev., 36: 823-841. doi: 10.1103/PhysRev.36.823
    [246]
    Ussia M, Urso M, Kment S, Fialova T, Klima K, Dolezelikova K, Pumera M. 2022. Light-propelled nanorobots for facial titanium implants biofilms removal. Small, 18: 2200708. doi: 10.1002/smll.202200708
    [247]
    Vagias A, Raccis R, Koynov K, Jonas U, Butt H J, Fytas G, Kosovan P, Lenz O, Holm C. 2013. Complex tracer diffusion dynamics in polymer solutions. Phys. Rev. Lett., 111: 088301. doi: 10.1103/PhysRevLett.111.088301
    [248]
    Van Zanten J H, Amin S, Abdala A A. 2004. Brownian motion of colloidal spheres in aqueous PEO solutions. Macromolecules, 37: 3874-3880. doi: 10.1021/ma035250p
    [249]
    Veiseh O, Gunn J W, Zhang M Q. 2010. Design and fabrication of magnetic nanoparticles for targeted drug delivery and imaging. Adv. Drug Delivery Rev., 62: 284-304. doi: 10.1016/j.addr.2009.11.002
    [250]
    Vilk O, Aghion E, Avgar T, Beta C, Nagel O, Sabri A, Sarfati R, Schwartz D K, Weiss M, Krapf D, Nathan R, Metzler R, Assaf M. 2022. Unravelling the origins of anomalous diffusion: From molecules to migrating storks. Phys. Rev. Research, 4: 033055. doi: 10.1103/PhysRevResearch.4.033055
    [251]
    Volgin I V, Larin S V, Abad E, Lyulin S V. 2017. Molecular dynamics simulations of fullerene diffusion in polymer melts. Macromolecules, 50: 2207-2218. doi: 10.1021/acs.macromol.6b02050
    [252]
    von Smoluchowski M. 1906. Zur kinetischen Theorie der brownschen molekularbewegung und der suspensionen. Ann. Phys., 326: 756-780. doi: 10.1002/andp.19063261405
    [253]
    Wachsmuth M, Waldeck W, Langowski J. 2000. Anomalous diffusion of fluorescent probes inside living cell nuclei investigated by spatially-resolved fluorescence correlation spectroscopy. J. Mol. Biol., 298: 677-689. doi: 10.1006/jmbi.2000.3692
    [254]
    Wagner T, Kroll A, Haramagatti C R, Lipinski H G, Wiemann M. 2017. Classification and segmentation of nanoparticle diffusion trajectories in cellular micro environments. PLoS One, 12: e0170165. doi: 10.1371/journal.pone.0170165
    [255]
    Waigh T A, Korabel N. 2023. Heterogeneous anomalous transport in cellular and molecular biology. Rep. Prog. Phys., 86: 126601. doi: 10.1088/1361-6633/ad058f
    [256]
    Wang B, Anthony S M, Bae S C, Granick S. 2009. Anomalous yet brownian. Proc. Natl. Acad. Sci. U. S. A., 106: 15160-15164. doi: 10.1073/pnas.0903554106
    [257]
    Wang B, Kuo J, Bae S C, Granick S. 2012. When brownian diffusion is not Gaussian. Nat. Mater., 11: 481-485. doi: 10.1038/nmat3308
    [258]
    Wang B, Kuo J, Granick S. 2013. Bursts of active transport in living cells. Phys. Rev. Lett., 111: 208102. doi: 10.1103/PhysRevLett.111.208102
    [259]
    Wang D P, He C L, Stoykovich M P, Schwartz D K. 2015. Nanoscale topography influences polymer surface diffusion. ACS Nano, 9: 1656-1664. doi: 10.1021/nn506376n
    [260]
    Wang J L, Yang Y W, Yu M R, Hu G Q, Gan Y, Gao H J, Shi X H. 2018. Diffusion of rod-like nanoparticles in non-adhesive and adhesive porous polymeric gels. J. Mech. Phys. Solids, 112: 431-457. doi: 10.1016/j.jmps.2017.12.014
    [261]
    Wang W, Cherstvy A G, Chechkin A V, Thapa S, Seno F, Liu X B, Metzler R. 2020. Fractional brownian motion with random diffusivity: Emerging residual nonergodicity below the correlation time. J. Phys. A-Math. Theor., 53: 474001. doi: 10.1088/1751-8121/aba467
    [262]
    Wang Z C, Yu H P, Liyanage A, Qiu J J, Thushara D, Bao B, Zhao S L. 2022. Collective diffusion of charged nanoparticles in microchannel under electric field. Chem. Eng. Sci., 248: 117264. doi: 10.1016/j.ces.2021.117264
    [263]
    Weber S C, Spakowitz A J, Theriot J A. 2010. Bacterial chromosomal loci move subdiffusively through a viscoelastic cytoplasm. Phys. Rev. Lett., 104: 238102
    [264]
    Weeks E R, Crocker J C, Levitt A C, Schofield A, Weitz D A. 2000. Three-dimensional direct imaging of structural relaxation near the colloidal glass transition. Science, 287: 627-631. doi: 10.1126/science.287.5453.627
    [265]
    Wei Y R, Zhao M, He T P, Chen N, Rao L, Chen L, Zhang Y, Yang Y B, Yuan Q. 2023. Quantitatively lighting up the spatial organization of CD47/SIRPα immune checkpoints on the cellular membrane with single-molecule localization microscopy. ACS Nano, 17: 21626-21638. doi: 10.1021/acsnano.3c06709
    [266]
    Weigel A V, Ragi S, Reid M L, Chong E K, Tamkun M M, Krapf D. 2012. Obstructed diffusion propagator analysis for single-particle tracking. Phys. Rev. E, 85: 041924. doi: 10.1103/PhysRevE.85.041924
    [267]
    Weigel A V, Simon B, Tamkun M M, Krapf D. 2011. Ergodic and nonergodic processes coexist in the plasma membrane as observed by single-molecule tracking. Proc. Natl. Acad. Sci. U. S. A., 108: 6438-6443. doi: 10.1073/pnas.1016325108
    [268]
    Weiss M, Elsner M, Kartberg F, Nilsson T. 2004. Anomalous subdiffusion is a measure for cytoplasmic crowding in living cells. Biophys. J., 87: 3518-3524. doi: 10.1529/biophysj.104.044263
    [269]
    Weiss M, Hashimoto H, Nilsson T. 2003. Anomalous protein diffusion in living cells as seen by fluorescence correlation spectroscopy. Biophys. J., 84: 4043-4052. doi: 10.1016/S0006-3495(03)75130-3
    [270]
    Welsher K, Yang H. 2014. Multi-resolution 3D visualization of the early stages of cellular uptake of peptide-coated nanoparticles. Nat. Nanotech., 9: 198-203. doi: 10.1038/nnano.2014.12
    [271]
    Wensink H H, Dunkel J, Heidenreich S, Drescher K, Goldstein R E, Löwen H, Yeomans J M. 2012. Meso-scale turbulence in living fluids. Proc. Natl. Acad. Sci. U. S. A., 109: 14308-14313. doi: 10.1073/pnas.1202032109
    [272]
    Winkler R G, Elgeti J, Gompper G. 2017. Active polymers-emergent conformational and dynamical properties: A brief review. J. Phys. Soc. Jpn., 86: 101014. doi: 10.7566/JPSJ.86.101014
    [273]
    Wirtz D. 2009. Particle-tracking microrheology of living cells: Principles and applications. Annu. Rev. Biophys., 38: 301-326. doi: 10.1146/annurev.biophys.050708.133724
    [274]
    Witzel P, Götz M, Lanoiselée Y, Franosch T, Grebenkov D S, Heinrich D. 2019. Heterogeneities shape passive intracellular transport. Biophys. J., 117: 203-213. doi: 10.1016/j.bpj.2019.06.009
    [275]
    Woodhouse F G, Goldstein R E. 2013. Cytoplasmic streaming in plant cells emerges naturally by microfilament self-organization. Proc. Natl. Acad. Sci. U. S. A., 110: 14132-14137. doi: 10.1073/pnas.1302736110
    [276]
    Woringer M, Izeddin I, Favard C, Berry H. 2020. Anomalous subdiffusion in living cells: Bridging the gap between experiments and realistic models through collaborative challenges. Front. Phys., 8: 134. doi: 10.3389/fphy.2020.00134
    [277]
    Wu X L, Libchaber A. 2000. Particle diffusion in a quasi-two-dimensional bacterial bath. Phys. Rev. Lett., 84: 3017-3020. doi: 10.1103/PhysRevLett.84.3017
    [278]
    Würger A. 2010. Thermal non-equilibrium transport in colloids. Rep. Prog. Phys., 73: 126601. doi: 10.1088/0034-4885/73/12/126601
    [279]
    Xiao B, Zheng X, Yu M R, Li H W, Jiang X H, Zhang L Y, Gong Y L, Cheng P, Xu H L, Lei X Q, Ding B W, Tian F L, Gan Y, Gao H J, Shi X H. 2026. Enhanced nanoparticle diffusion via deformation-driven network remodeling in cyclically stretched hydrogels. Nano Today, 69: 103037. doi: 10.1016/j.nantod.2026.103037
    [280]
    Xie C L, Liu Y N, Luo H, Jing G Y. 2022. Activity-induced enhancement of superdiffusive transport in bacterial turbulence. Micromachines, 13: 746. doi: 10.3390/mi13050746
    [281]
    Xu C, Yang K, Yuan B. 2023. Non-gaussian diffusion of individual lipids unveils the unique peptide–membrane interaction dynamics. J. Phys. Chem. Lett., 14: 854-862. doi: 10.1021/acs.jpclett.2c03467
    [282]
    Xu Z Y, Dai X B, Bu X Y, Yang Y, Zhang X Y, Man X K, Zhang X H, Doi M, Yan L T. 2021. Enhanced heterogeneous diffusion of nanoparticles in semiflexible networks. ACS Nano, 15: 4608-4616. doi: 10.1021/acsnano.0c08877
    [283]
    Xue C D, Huang Y R, Zheng X, Hu G Q. 2022a. Hopping behavior mediates the anomalous confined diffusion of nanoparticles in porous hydrogels. J. Phys. Chem. Lett., 13: 10612-10620. doi: 10.1021/acs.jpclett.2c02733
    [284]
    Xue C D, Qu H C, Zheng G S, Qin K R, Zhao D W. 2022b. Understanding the diffusive transport of nanoparticles in agarose hydrogels. Phys. Fluids, 34: 122001. doi: 10.1063/5.0127687
    [285]
    Xue C D, Shi X H, Tian Y, Zheng X, Hu G Q. 2020. Diffusion of nanoparticles with activated hopping in crowded polymer solutions. Nano Lett., 20: 3895-3904. doi: 10.1021/acs.nanolett.0c01058
    [286]
    Xue C D, Yin Y F, Xu X Y, Tian K, Su J H, Hu G Q. 2025. Particle manipulation under X-force fields. Lab Chip, 25: 956-978. doi: 10.1039/D4LC00794H
    [287]
    Xue C D, Zheng X, Chen K K, Tian Y, Hu G Q. 2016. Probing non-gaussianity in confined diffusion of nanoparticles. J. Phys. Chem. Lett., 7: 514-519. doi: 10.1021/acs.jpclett.5b02624
    [288]
    Yang Y, Zeng W W, Huang P, Zeng X W, Mei L. 2021. Smart materials for drug delivery and cancer therapy. View, 2: 20200042. doi: 10.1002/VIW.20200042
    [289]
    Yang Z L, Pei Z Y, Gao Z X, Luo M, Liu X C, Guo J, Jiang H Y, Lv M T, Yu Z L, Zhao S L, Guan J G. 2025. Bienzyme-powered nanorobots with ultrasensitive chemotaxis for precision cancer therapy. Natl. Sci. Rev., 13: nwaf580. doi: 10.1093/nsr/nwaf580
    [290]
    Yasuda K, Okamoto R, Komura S. 2017. Anomalous diffusion in viscoelastic media with active force dipoles. Phys. Rev. E, 95: 032417. doi: 10.1103/PhysRevE.95.032417
    [291]
    Yeung P K. 2002. Lagrangian investigations of turbulence. Annu. Rev. Fluid Mech., 34: 115-142.
    [292]
    Yu C Q, Guan J, Chen K J, Bae S C, Granick S. 2013. Single-molecule observation of long jumps in polymer adsorption. ACS Nano, 7: 9735-9742. doi: 10.1021/nn4049039
    [293]
    Yu L, Lei Y Z, Ma Y, Liu M, Zheng J J, Dan D, Gao P. 2021. A comprehensive review of fluorescence correlation spectroscopy. Front. Phys., 9: 644450. doi: 10.3389/fphy.2021.644450
    [294]
    Yu M R, Song W Y, Tian F L, Dai Z, Zhu Q L, Ahmad E, Guo S Y, Zhu C L, Zhong H J, Yuan Y C, Zhang T, Yi X, Shi X H, Gan Y, Gao H J. 2019. Temperature- and rigidity-mediated rapid transport of lipid nanovesicles in hydrogels. Proc. Natl. Acad. Sci. U. S. A., 116: 5362-5369. doi: 10.1073/pnas.1818924116
    [295]
    Yu M R, Wang J L, Yang Y W, Zhu C L, Su Q, Guo S Y, Sun J S, Gan Y, Shi X H, Gao H J. 2016. Rotation-facilitated rapid transport of nanorods in mucosal tissues. Nano Lett., 16: 7176-7182. doi: 10.1021/acs.nanolett.6b03515
    [296]
    Yu M R, Xu L, Tian F L, Su Q, Zheng N, Yang Y W, Wang J L, Wang A H, Zhu C L, Guo S Y, Zhang X X, Gan Y, Shi X H, Gao H J. 2018. Rapid transport of deformation-tuned nanoparticles across biological hydrogels and cellular barriers. Nat. Commun., 9: 2607. doi: 10.1038/s41467-018-05061-3
    [297]
    Yücel H. 2023. A simulation study on colloid diffusion under time-varying optical potentials. J. Appl. Phys., 134: 013101. doi: 10.1063/5.0154604
    [298]
    Zaburdaev V, Denisov S, Klafter J. 2015. Lévy walks. Rev. Mod. Phys., 87: 483-530. doi: 10.1103/RevModPhys.87.483
    [299]
    Zhang B, Snezhko A. 2025. Shape-anisotropy inverses the behavior of emergent vortices in active chiral fluids. Commun. Phys., 8: 243. doi: 10.1038/s42005-025-02165-3
    [300]
    Zhang C, Liu R, Ding Z C, Lu P, Tian W M, Zhao Y, He J Y, Hou S G. 2026. Review of machine learning for single-particle tracking: Methods, challenges, and biophysical insights. Chem. Biomed. Imaging, 4(5): 695-718. doi: 10.1021/cbmi.5c00146
    [301]
    Zhang J, Yang L J, Wang H X, Wang J L, Dong R Y. 2025. Cross-sectional effects on nanorod diffusion in polymer melts. Macromolecules, 58: 4959-4970. doi: 10.1021/acs.macromol.5c00629
    [302]
    Zhang Y Y, Ge F, Lin X J, Xue J F, Song Y X, Xie H, He Y. 2023. Extract latent features of single-particle trajectories with historical experience learning. Biophys. J., 122: 4451-4466. doi: 10.1016/j.bpj.2023.10.023
    [303]
    Zhang Y Y, Zhu J L, Xie H, He Y. 2025. Physics-informed deep learning for stochastic particle dynamics estimation. Proc. Natl. Acad. Sci. U. S. A., 122: e2418643122
    [304]
    Zhang Y, Dudko O K. 2016. First-passage processes in the genome. Annu. Rev. Biophys., 45: 117-134. doi: 10.1146/annurev-biophys-062215-010925
    [305]
    Zheng X, Ten Hagen B, Kaiser A, Wu M L, Cui H H, Silber Li Z, Lowen H. 2013. Non-gaussian statistics for the motion of self-propelled janus particles: Experiment versus theory. Phys. Rev. E, 88: 032304. doi: 10.1103/physreve.88.032304
    [306]
    Zhou H X, Rivas G, Minton A P. 2008. Macromolecular crowding and confinement: Biochemical, biophysical, and potential physiological consequences. Annu. Rev. Biophys., 37: 375-397. doi: 10.1146/annurev.biophys.37.032807.125817
    [307]
    Zhou H, Chen S B. 2009. Brownian dynamics simulation of tracer diffusion in a cross-linked network. Phys. Rev. E, 79: 021801. doi: 10.1103/physreve.79.021801
    [308]
    Zuo W L, Wu Y L. 2020. Dynamic motility selection drives population segregation in a bacterial swarm. Proc. Natl. Acad. Sci. U. S. A., 117: 4693-4700. doi: 10.1073/pnas.1917789117
    [309]
    Zwanzig R. 1973. Nonlinear generalized Langevin equations. J. Stat. Phys., 9: 215-220. doi: 10.1007/BF01008729
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)

    Article Metrics

    Article views (119) PDF downloads(28) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return