26 citations · 78 across the 7 of their papers we have counts for
7 papers
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…
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…
Odd elasticity of a catalytic micromachine
Akira Kobayashi, Kento Yasuda, Kenta Ishimoto +4
We perform numerical simulations of a model micromachine driven by catalytic chemical reactions. Our model includes a mechano-chemical coupling between the structural variables and…
Simulations of Odd Microswimmers
Akira Kobayashi, Kento Yasuda, Li-Shing Lin +3
We perform numerical simulations of odd microswimmers consisting of three spheres and two odd springs. To describe the hydrodynamic interaction, both the Oseen-type and the Rotne-P…
Onsager's variational principle for nonreciprocal systems with odd elasticity
Li-Shing Lin, Kento Yasuda, Kenta Ishimoto +2
Using Onsager's variational principle, we derive dynamical equations for a nonequilibrium active system with odd elasticity. The elimination of the extra variable that is coupled t…
Time-correlation functions for odd Langevin systems
Kento Yasuda, Kenta Ishimoto, Akira Kobayashi +4
We investigate the statistical properties of fluctuations in active systems that are governed by non-symmetric responses. Both an underdamped Langevin system with an odd resistance…