Cover Image

Recurrent neural network analysis of single trajectories switching between anomalous diffusion states

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lanza, Alvaro, Qu, Xiang, Bo, Stefano
Format:	Preprint
Published:	2025
Subjects:	Statistical Mechanics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Measuring irreversibility in stochastic systems by categorizing single-molecule displacements
by: Lanza, Alvaro, et al.
Published: (2025)

Modelling intermittent anomalous diffusion with switching fractional Brownian motion
by: Balcerek, Michał, et al.
Published: (2023)

Universal anomalous fluctuations in charged single-file systems
by: Krajnik, Žiga, et al.
Published: (2022)

Change-point detection in anomalous-diffusion trajectories utilising machine-learning-based uncertainty estimates
by: Seckler, Henrik, et al.
Published: (2024)

Generalized autocorrelation function in the family of deterministic and stochastic anomalous diffusion processes
by: Tayyab, Muhammad
Published: (2024)

Density of states in neural networks: an in-depth exploration of learning in parameter space
by: Mele, Margherita, et al.
Published: (2024)

Single-molecule trajectories of reactants in chemically active biomolecular condensates
by: Bo, Stefano, et al.
Published: (2025)

Different anomalous diffusion regimes measured in the dynamics of tracer particles in actin networks
by: Levin, Maayan, et al.
Published: (2020)

Super-resolved anomalous diffusion: deciphering the joint distribution of anomalous exponent and diffusion coefficient
by: Lanoiselée, Yann, et al.
Published: (2024)

Relation between stochastic processes and thermodynamics of trajectories
by: Ryazanov, V. V.
Published: (2023)

Universal hyper-scaling relations, power-law tails, and data analysis for strong anomalous diffusion
by: Vollmer, Jürgen, et al.
Published: (2024)

From anomalous diffusion in polygons to a transport locking relation
by: Claudio-Pachecano, Luisana, et al.
Published: (2025)

Uphill drift in the absence of current in single-file diffusion
by: Sorkin, Benjamin, et al.
Published: (2024)

Typicality of thermal states in isolated quantum systems corresponds to ubiquity of global minima in wide artificial neural networks
by: Monnai, Takaaki
Published: (2025)

Unsupervised learning of anomalous diffusion data
by: Muñoz-Gil, Gorka, et al.
Published: (2021)

Age-structured hydrodynamics of ensembles of anomalously diffusing particles with renewal resetting
by: Meerson, Baruch, et al.
Published: (2025)

Dynamically emergent correlations between particles in a switching harmonic trap
by: Biroli, Marco, et al.
Published: (2023)

Scaled Brownian motion with random anomalous diffusion exponent
by: Woszczek, Hubert, et al.
Published: (2024)

The effective diffusion constant of stochastic processes with spatially periodic noise
by: Giordano, Stefano, et al.
Published: (2024)

Large deviations for trajectory observables of diffusion processes in dimension $d>1$ in the double limit of large time and small diffusion coefficient
by: Monthus, Cecile
Published: (2023)

Beyond Whittle: exact finite-time multispectral statistics from a single Brownian trajectory in a harmonic trap
by: Castillo, Isaac Pérez, et al.
Published: (2026)

Similarity networks of ordinal-pattern transitions classify falling paper trajectories
by: Flores, Angelo A., et al.
Published: (2025)

Tracer diffusion beyond Gaussian behavior: explicit results for general single-file systems
by: Grabsch, Aurélien, et al.
Published: (2024)

Anomalous statistics in the Langevin equation with fluctuating diffusivity: from Brownian yet non-Gaussian diffusion to anomalous diffusion and ergodicity breaking
by: Akimoto, Takuma, et al.
Published: (2025)

Absorbing state dynamics of stochastic gradient descent
by: Zhang, Guanming, et al.
Published: (2024)

LeaPP: Learning Pathways to Polymorphs through machine learning analysis of atomic trajectories
by: Hall, Steven W., et al.
Published: (2024)

Particles, trajectories and diffusion: random walks in cooling granular gases
by: Yuste, Santos Bravo, et al.
Published: (2025)

The tricritical point of tricritical directed percolation is determined based on neural network
by: Gao, Feng, et al.
Published: (2024)

Brownian motion: non-equilibrium states from equilibrium trajectories -- recovering hydrodynamic regimes from prepared displacement measurements
by: Boynewicz, Jason, et al.
Published: (2026)

Dissimilarity between synchronization processes on networks
by: Riascos, Alejandro P.
Published: (2023)

Large deviations at level 2.5 and for trajectories observables of diffusion processes : the missing parts with respect to their random-walks counterparts
by: Monthus, Cecile
Published: (2023)

Fate of Boltzmann's breathers: Stokes hypothesis and anomalous thermalization
by: de Soria, M. I. García, et al.
Published: (2023)

Strong anomalous diffusion for free-ranging birds
by: Vilk, Ohad, et al.
Published: (2024)

Unraveling-induced entanglement phase transition in diffusive trajectories of continuously monitored noninteracting fermionic systems
by: Eissler, Moritz, et al.
Published: (2024)

Physics-informed graph neural networks enhance scalability of variational nonequilibrium optimal control
by: Yan, Jiawei, et al.
Published: (2022)

Power spectrum of magnetic relaxation in spin ice: anomalous diffusion in a Coulomb fluid
by: Billington, D., et al.
Published: (2024)

Self-consistent expansion and field-theoretic renormalization group for a singular nonlinear diffusion equation with anomalous scaling
by: Zhu, Minhui, et al.
Published: (2024)

Large deviations of density in the non-equilibrium steady state of boundary-driven diffusive systems
by: Saha, Soumyabrata, et al.
Published: (2025)

Emerging correlations between diffusing particles evolving via simultaneous resetting with memory
by: Boyer, Denis, et al.
Published: (2025)

Spatial-temporal analysis of neural desynchronization in sleep-like states reveals critical dynamics
by: Curic, Davor, et al.
Published: (2024)