10 citations · 13 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
GenML: A Python Library to Generate the Mittag-Leffler Correlated Noise
Xiang Qu, Hui Zhao, Wenjie Cai +2
Mittag-Leffler correlated noise (M-L noise) plays a crucial role in the dynamics of complex systems, yet the scientific community has lacked tools for its direct generation. Addres…