MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling

4 June 2022

Papers citing "MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling"

5 / 5 papers shown

Title
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses S. Jafarzadeh Stewart Silling Ning Liu Zhongqiang Zhang Yue Yu AI4CE 32 16 0 11 Jan 2024
$Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures$ Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures Huaiqian You Xiao Xu Yue Yu Stewart Silling M. DÉlia J. Foster AI4CE 36 6 0 11 Jan 2023
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification Yiming Fan M. DÉlia Yue Yu H. Najm Stewart Silling 29 3 0 06 Oct 2022
Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws Huaiqian You Yue Yu Stewart Silling M. DÉlia 35 33 0 08 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 386 11,700 0 09 Mar 2017