2 papers
cond-mat.mtrl-sci2024
Physics-informed neural networks incorporating energy dissipation for the phase-field model of ferroelectric microstructure evolution
Lan Shang, Sizheng Zheng, Jin Wang +1
Physics-informed neural networks (PINNs) are an emerging technique to solve partial differential equations (PDEs). In this work, we propose a simple but effective PINN approach for…
physics.app-ph2023
Atomic-Scale Tracking Phase Transition Dynamics of Berezinskii-Kosterlitz-Thouless Polar Vortex-Antivortex
Ruixue Zhu, Sizheng Zheng, Xiaomei Li +8
Particle-like topologies, such as vortex-antivortex (V-AV) pairs, have garnered significant attention in the field of condensed matter. However, the detailed phase transition dynam…