activity
20192024
most citedA Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database

87 citations · 161 across the 5 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

math.NA2022★ 73 cited

Deep autoencoders for physics-constrained data-driven nonlinear materials modeling

Xiaolong He, Qizhi He, Jiun-Shyan Chen

Physics-constrained data-driven computing is an emerging computational paradigm that allows simulation of complex materials directly based on material database and bypass the class…

cs.CE2022

A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization

Jonghyuk Baek, Jiun-Shyan Chen, Kristen Susuki

Modeling the localized intensive deformation in a damaged solid requires highly refined discretization for accurate prediction, which significantly increases the computational cost…