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An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture

Computer methods in applied mechanics and engineering, 2021-04, Vol.377, p.113691, Article 113691

2021

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An asymptotically compatible formulation for local-to-nonlocal coupling problems without overlapping regions

Computer methods in applied mechanics and engineering, 2020-07, Vol.366, p.113038, Article 113038

2020

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A data-driven peridynamic continuum model for upscaling molecular dynamics

Computer methods in applied mechanics and engineering, 2022-02, Vol.389, p.114400, Article 114400

2022

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Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network

Journal of computational physics, 2022-11, Vol.469 (C), p.111536, Article 111536

2022

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Data-driven learning of nonlocal physics from high-fidelity synthetic data

Computer methods in applied mechanics and engineering, 2021-02, Vol.374, p.113553, Article 113553

2021

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An asymptotically compatible meshfree quadrature rule for nonlocal problems with applications to peridynamics

Computer methods in applied mechanics and engineering, 2019-01, Vol.343, p.151-165

2019

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Learning deep Implicit Fourier Neural Operators (IFNOs) with applications to heterogeneous material modeling

Computer methods in applied mechanics and engineering, 2022-08, Vol.398, p.115296, Article 115296

2022

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A meshfree peridynamic model for brittle fracture in randomly heterogeneous materials

Computer methods in applied mechanics and engineering, 2022-09, Vol.399, p.115340, Article 115340

2022

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MetaNO: How to transfer your knowledge on learning hidden physics

Computer methods in applied mechanics and engineering, 2023-12, Vol.417 (Pt B), p.116280, Article 116280

2023

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MetaNOR: A meta-learnt nonlocal operator regression approach for metamaterial modeling

MRS communications, 2022-10, Vol.12 (5), p.662-677

2022

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OBMeshfree: An Optimization-Based Meshfree Solver for Nonlocal Diffusion and Peridynamics Models

Journal of peridynamics and nonlocal modeling (Online), 2024-03, Vol.6 (1), p.4-32

2024

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Data-driven learning of nonlocal physics from high-fidelity synthetic data

Computer methods in applied mechanics and engineering, 2020-12, Vol.374

2020

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An asymptotically compatible approach for Neumann-type boundary condition on nonlocal problems

ESAIM: Mathematical Modelling and Numerical Analysis, 2020-07, Vol.54 (4), p.1373-1413

2020

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Nonlocal Models for Complex Physical Responses: Analysis and Applications

You, Huaiqian

2022

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A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues From Digital Image Correlation Measurements

Journal of biomechanical engineering, 2022-12, Vol.144 (12)

2022

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An asymptotically compatible meshfree quadrature rule for nonlocal problems with applications to peridynamics

Computer methods in applied mechanics and engineering, 2018-09, Vol.343

2018

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Nonlocal Operator Learning for Homogenized Models: From High-fidelity Simulations to Constitutive Laws

Journal of peridynamics and nonlocal modeling (Online), 2024-04

2024

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A partitioned coupling framework for peridynamics and classical theory: Analysis and simulations

Computer methods in applied mechanics and engineering, 2018-10, Vol.340 (C), p.905-931

2018

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Peridynamic Model for Single-Layer Graphene Obtained from Coarse-Grained Bond Forces

Journal of peridynamics and nonlocal modeling (Online), 2023-06, Vol.5 (2), p.183-204

2023

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An asymptotically compatible approach for Neumann-type boundary condition on nonlocal problems

ESAIM: Mathematical Modelling and Numerical Analysis, 2021, Vol.55, p.S811-S851

2021

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Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures

Applied mathematics and mechanics, 2023-07, Vol.44 (7), p.1125-1150

English ed., 2023

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Weighted Littlewood–Paley inequalities for heat flows in RCD spaces

Journal of mathematical analysis and applications, 2019-11, Vol.479 (2), p.1618-1640

Li, Huaiqian

2019

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A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis

Mathematical problems in engineering, 2018-01, Vol.2018 (2018), p.1-10

2018

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Fucosylation in cancer biology and its clinical applications

Progress in molecular biology and translational science, 2019, Vol.162, p.93-119

2019

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Wasserstein convergence for conditional empirical measures of subordinated Dirichlet diffusions on Riemannian manifolds

Communications on pure and applied analysis, 2024-04, Vol.23 (4), p.546-576

2024

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An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture

An asymptotically compatible formulation for local-to-nonlocal coupling problems without overlapping regions

A data-driven peridynamic continuum model for upscaling molecular dynamics

Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network

Data-driven learning of nonlocal physics from high-fidelity synthetic data

An asymptotically compatible meshfree quadrature rule for nonlocal problems with applications to peridynamics

Learning deep Implicit Fourier Neural Operators (IFNOs) with applications to heterogeneous material modeling

A meshfree peridynamic model for brittle fracture in randomly heterogeneous materials

MetaNO: How to transfer your knowledge on learning hidden physics

MetaNOR: A meta-learnt nonlocal operator regression approach for metamaterial modeling

OBMeshfree: An Optimization-Based Meshfree Solver for Nonlocal Diffusion and Peridynamics Models

Data-driven learning of nonlocal physics from high-fidelity synthetic data

An asymptotically compatible approach for Neumann-type boundary condition on nonlocal problems

Nonlocal Models for Complex Physical Responses: Analysis and Applications

A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues From Digital Image Correlation Measurements

An asymptotically compatible meshfree quadrature rule for nonlocal problems with applications to peridynamics

Nonlocal Operator Learning for Homogenized Models: From High-fidelity Simulations to Constitutive Laws

A partitioned coupling framework for peridynamics and classical theory: Analysis and simulations

Peridynamic Model for Single-Layer Graphene Obtained from Coarse-Grained Bond Forces

An asymptotically compatible approach for Neumann-type boundary condition on nonlocal problems

Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures

Weighted Littlewood–Paley inequalities for heat flows in RCD spaces

A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis

Fucosylation in cancer biology and its clinical applications

Wasserstein convergence for conditional empirical measures of subordinated Dirichlet diffusions on Riemannian manifolds

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