3 papers
cs.CE2025
Enforced Interface Constraints for Domain Decomposition Method of Discrete Physics-Informed Neural Networks
Jichao Yin, Mingxuan Li, Jianguang Fang +1
This study presents a discrete physics-informed neural network (dPINN) framework, enhanced with enforced interface constraints (EIC), for modeling physical systems using the domain…
cs.LG2023
Dynamically configured physics-informed neural network in topology optimization applications
Jichao Yin, Ziming Wen, Shuhao Li +2
Integration of machine learning (ML) into the topology optimization (TO) framework is attracting increasing attention, but data acquisition in data-driven models is prohibitive. Co…
math.NA2023
A novel reduced basis method for adjoint sensitivity analysis of dynamic topology optimization
Shuhao Li, Hu Wang, Jichao Yin +2
In gradient-based time domain topology optimization, design sensitivity analysis (DSA) of the dynamic response is essential, and requires high computational cost to directly differ…