Machine-learning solutions for the analysis of single-particle diffusion trajectories

H Seckler, J Szwabinski, R Metzler - The Journal of Physical …, 2023 - ACS Publications
Single-particle traces of the diffusive motion of molecules, cells, or animals are by now
routinely measured, similar to stochastic records of stock prices or weather data …

Objective comparison of methods to decode anomalous diffusion

G Muñoz-Gil, G Volpe, MA Garcia-March… - Nature …, 2021 - nature.com
Deviations from Brownian motion leading to anomalous diffusion are found in transport
dynamics from quantum physics to life sciences. The characterization of anomalous diffusion …

Bayesian deep learning for error estimation in the analysis of anomalous diffusion

H Seckler, R Metzler - Nature Communications, 2022 - nature.com
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …

Topology mediates transport of nanoparticles in macromolecular networks

X Dai, X Zhang, L Gao, Z Xu, LT Yan - Nature Communications, 2022 - nature.com
Diffusion transport of nanoparticles in confined environments of macromolecular networks is
common in diverse physical systems and regulates many biological responses …

Colloquium: Anomalous statistics of laser-cooled atoms in dissipative optical lattices

G Afek, N Davidson, DA Kessler, E Barkai - Reviews of Modern Physics, 2023 - APS
Diffusion occurs in numerous physical systems throughout nature, drawing its generality
from the universality of the central limit theorem. Approximately a century ago it was realized …

Inferring broken detailed balance in the absence of observable currents

IA Martínez, G Bisker, JM Horowitz… - Nature …, 2019 - nature.com
Identifying dissipation is essential for understanding the physical mechanisms underlying
nonequilibrium processes. In living systems, for example, the dissipation is directly related to …

Feedback-controlled active brownian colloids with space-dependent rotational dynamics

MA Fernandez-Rodriguez, F Grillo, L Alvarez… - Nature …, 2020 - nature.com
The non-thermal nature of self-propelling colloids offers new insights into non-equilibrium
physics. The central mathematical model to describe their trajectories is active Brownian …

Reliable deep learning in anomalous diffusion against out-of-distribution dynamics

X Feng, H Sha, Y Zhang, Y Su, S Liu, Y Jiang… - Nature computational …, 2024 - nature.com
Anomalous diffusion plays a crucial rule in understanding molecular-level dynamics by
offering valuable insights into molecular interactions, mobility states and the physical …

A model of non-Gaussian diffusion in heterogeneous media

Y Lanoiselée, DS Grebenkov - Journal of Physics A …, 2018 - iopscience.iop.org
Recent progress in single-particle tracking has shown evidence of the non-Gaussian
distribution of displacements in living cells, both near the cellular membrane and inside the …

Fractional Brownian motion with fluctuating diffusivities

A Pacheco-Pozo, D Krapf - Physical Review E, 2024 - APS
Despite the success of fractional Brownian motion (fBm) in modeling systems that exhibit
anomalous diffusion due to temporal correlations, recent experimental and theoretical …