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…