8 citations · 12 across the 8 of their papers we have counts for
8 papers
Barrier induced stalemate-consensus transition of self-propelled participants subject to majority rule
Yan-Wen Xiao, Wei-Chen Guo, Bao-Quan Ai +1
Natural or artificial barriers, such as the Himalayas, the Berlin Wall, or the Korean Demilitarized Zone, can significantly impede human migration. As a consequence, they may also…
Noise-aware neural network for stochastic dynamics simulation
Pei-Fang Wu, Wei-Chen Guo, Liang He
In the presence of system-environment coupling, classical complex systems undergo stochastic dynamics, where rich phenomena can emerge at large spatio-temporal scales. To investiga…
Real-space condensation of reciprocal active particles driven by spontaneous symmetry breaking induced nonreciprocity
Wei-chen Guo, Zuo Wang, Pei-fang Wu +3
We investigate the steady-state and dynamical properties of a reciprocal many-body system consisting of self-propelled active particles with local alignment interactions that exist…
Learning phase transitions from regression uncertainty: A new regression-based machine learning approach for automated detection of phases of matter
Wei-Chen Guo, Liang He
For performing regression tasks involved in various physics problems, enhancing the precision or equivalently reducing the uncertainty of regression results is undoubtedly one of t…
Scaling behavior of transient dynamics of vortex-like states in self-propelled particles
Pei-fang Wu, Wei-chen Guo, Bao-quan Ai +1
Nonequilibrium many-body transient dynamics play an important role in the adaptation of active matter systems environment changes. However, the generic universal behavior of such d…
Scanning-probe and information-concealing machine learning intermediate hexatic phase and critical scaling of solid-hexatic phase transition in deformable particles
Wei-chen Guo, Bao-quan Ai, Liang He
We investigate the two-dimensional melting of deformable polymeric particles with multi-body interactions described by the Voronoi model. We report machine learning evidence for th…
Data-driven criterion for the solid-liquid transition of two-dimensional self-propelled colloidal particles far from equilibrium
Wei-chen Guo, Bao-quan Ai, Liang He
We establish an explicit data-driven criterion for identifying the solid-liquid transition of two-dimensional self-propelled colloidal particles in the far from equilibrium paramet…
Reveal flocking phase transition of self-propelled active particles by machine learning regression uncertainty
Wei-Chen Guo, Bao-Quan Ai, Liang He
We develop the neural network based "learning from regression uncertainty" approach for automated detection of phases of matter in nonequilibrium active systems. Taking the flockin…