A data-driven peridynamic continuum model for upscaling molecular dynamics

4 August 2021

Papers citing "A data-driven peridynamic continuum model for upscaling molecular dynamics"

5 / 5 papers shown

Title
Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws Huaiqian You Yue Yu Stewart Silling M. DÉlia 85 33 0 08 Dec 2020
Data-driven learning of robust nonlocal physics from high-fidelity synthetic data Huaiqian You Yue Yu Nathaniel Trask Mamikon A. Gulian M. DÉlia 54 35 0 17 May 2020
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications G. Pang M. DÉlia M. Parks George Karniadakis PINN 48 154 0 08 Apr 2020
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 78 487 0 22 Apr 2019
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014