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20182026
most citedPredicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks

26 citations · 49 across the 11 of their papers we have counts for

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cs.LG2023

NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training

Binghang Lu, Christian B. Moya, Guang Lin

This paper presents NSGA-PINN, a multi-objective optimization framework for effective training of Physics-Informed Neural Networks (PINNs). The proposed framework uses the Non-domi…

cs.LG2022★ 2 cited

DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems

Yixuan Sun, Christian Moya, Guang Lin +1

This paper develops a Deep Graph Operator Network (DeepGraphONet) framework that learns to approximate the dynamics of a complex system (e.g. the power grid or traffic) with an und…