2 papers
cond-mat.soft2026
Neural optimization of the most probable paths of 3D active Brownian particles
Bin Zheng, Zhongqiang Xiong, Changhao Li +7
We develop a variational neural-network framework to determine the most probable path (MPP) of a 3D active Brownian particle (ABP) by directly minimizing the Onsager-Machlup integr…
cond-mat.soft2024
Emergence of odd elasticity in a microswimmer using deep reinforcement learning
Li-Shing Lin, Kento Yasuda, Kenta Ishimoto +1
We use the Deep Q-Network with reinforcement learning to investigate the emergence of odd elasticity in an elastic microswimmer model. For an elastic microswimmer, it is challengin…