An Asymptotically Compatible Approach For Neumann-Type Boundary Condition On Nonlocal Problems. - Huaiqian You; Xin Yang Lu; Nathaniel Trask; Yue Yu (CoRR, 2019)

An Asymptotically Compatible Formulation for Local-to-Nonlocal Coupling Problems without Overlapping Regions. - Huaiqian You; Yue Yu; David Kamensky (CoRR, 2019)

Data-driven learning of robust nonlocal physics from high-fidelity synthetic data. - Huaiqian You; Yue Yu; Nathaniel Trask; Mamikon A. Gulian; Marta D'Elia (CoRR, 2020)

Data-driven Learning of Nonlocal Models: from high-fidelity simulations to constitutive laws. - Huaiqian You; Yue Yu; Stewart Silling; Marta D'Elia (AAAI Spring Symposium: MLPS, 2021)

An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture. - Yue Yu; Huaiqian You; Nathaniel Trask (CoRR, 2021)

A data-driven peridynamic continuum model for upscaling molecular dynamics. - Huaiqian You; Yue Yu; Stewart Silling; Marta D'Elia (CoRR, 2021)

A Meshfree Peridynamic Model for Brittle Fracture in Randomly Heterogeneous Materials. - Yiming Fan; Huaiqian You; Xiaochuan Tian; Xiu Yang; Xingjie Li 001; Naveen Prakash; Yue Yu (CoRR, 2022)

Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling. - Huaiqian You; Quinn Zhang; Colton J. Ross; Chung-Hao Lee; Yue Yu (CoRR, 2022)

A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements. - Huaiqian You; Quinn Zhang; Colton J. Ross; Chung-Hao Lee; Ming-Chen Hsu; Yue Yu (CoRR, 2022)

MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling. - Lu Zhang; Huaiqian You; Yue Yu (CoRR, 2022)

OBMeshfree: An optimization-based meshfree solver for nonlocal diffusion and peridynamics models. - Yiming Fan; Huaiqian You; Yue Yu (CoRR, 2022)

Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network. - Huaiqian You; Yue Yu; Marta D'Elia; Tian Gao; Stewart Silling (J. Comput. Phys., 2022)

INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation. - Ning Liu; Yue Yu; Huaiqian You; Neeraj Tatikola (AISTATS, 2023)

Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures. - Huaiqian You; Xiao Xu; Yue Yu; Stewart Silling; Marta D'Elia; John T. Foster (CoRR, 2023)

MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics. - Lu Zhang; Huaiqian You; Tian Gao; Mo Yu; Chung-Hao Lee; Yue Yu (CoRR, 2023)