3 papers
physics.bio-ph2025
Data-Efficient Learning of Anomalous Diffusion with Wavelet Representations: Enabling Direct Learning from Experimental Trajectories
Gongyi Wang, Yu Zhang, Zihan Huang
Machine learning (ML) has become a versatile tool for analyzing anomalous diffusion trajectories, yet most existing pipelines are trained on large collections of simulated data. In…
cond-mat.soft2025
Reinforcement Learning for Active Matter
Wenjie Cai, Gongyi Wang, Yu Zhang +2
Active matter refers to systems composed of self-propelled entities that consume energy to produce motion, exhibiting complex non-equilibrium dynamics that challenge traditional mo…
cs.LG2025
Machine Learning Analysis of Anomalous Diffusion
Wenjie Cai, Yi Hu, Xiang Qu +4
The rapid advancements in machine learning have made its application to anomalous diffusion analysis both essential and inevitable. This review systematically introduces the integr…