WaiChing Sun

WaiChing Sun

Columbia University in the City of New York

H-index: 39

North America-United States

About WaiChing Sun

WaiChing Sun, With an exceptional h-index of 39 and a recent h-index of 32 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Computational Mechanics, Machine Learning in Mechanics, Poromechanics, Geomechanics, Rock Physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Prediction of yield surface of single crystal copper from discrete dislocation dynamics and geometric learning

Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions

Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables

A machine‐learning supported multi‐scale LBM‐TPM model of unsaturated, anisotropic, and deformable porous materials

Prediction of effective elastic moduli of rocks using Graph Neural Networks

Physics-Informed Diffusion Models

Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria

Physics-constrained symbolic model discovery for polyconvex incompressible hyperelastic materials

WaiChing Sun Information

University

Position

Associate Professor of Civil Engineering and Engineering Mechanics

Citations(all)

4083

Citations(since 2020)

3181

Cited By

2166

hIndex(all)

39

hIndex(since 2020)

32

i10Index(all)

74

i10Index(since 2020)

66

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

WaiChing Sun Skills & Research Interests

Computational Mechanics

Machine Learning in Mechanics

Poromechanics

Geomechanics

Rock Physics

Top articles of WaiChing Sun

Title

Journal

Author(s)

Publication Date

Prediction of yield surface of single crystal copper from discrete dislocation dynamics and geometric learning

Journal of the Mechanics and Physics of Solids

Wu-Rong Jian

Mian Xiao

WaiChing Sun

Wei Cai

2024/2/17

Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions

Computer Methods in Applied Mechanics and Engineering

Bahador Bahmani

Hyoung Suk Suh

WaiChing Sun

2024/3/15

Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables

arXiv preprint arXiv:2401.14270

Max Rosenkranz

Karl A Kalina

Jörg Brummund

WaiChing Sun

Markus Kästner

2024/1/25

A machine‐learning supported multi‐scale LBM‐TPM model of unsaturated, anisotropic, and deformable porous materials

International Journal for Numerical and Analytical Methods in Geomechanics

Mohamad Chaaban

Yousef Heider

WaiChing Sun

Bernd Markert

2024/3

Prediction of effective elastic moduli of rocks using Graph Neural Networks

Computer Methods in Applied Mechanics and Engineering

Jaehong Chung

Rasool Ahmad

WaiChing Sun

Wei Cai

Tapan Mukerji

2024/3/1

Physics-Informed Diffusion Models

arXiv preprint arXiv:2403.14404

Jan-Hendrik Bastek

WaiChing Sun

Dennis M Kochmann

2024/3/21

Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria

Computer Methods in Applied Mechanics and Engineering

Karl A Kalina

Philipp Gebhart

Jörg Brummund

Lennart Linden

WaiChing Sun

...

2024/3/1

Physics-constrained symbolic model discovery for polyconvex incompressible hyperelastic materials

arXiv preprint arXiv:2310.04286

Bahador Bahmani

WaiChing Sun

2023/10/6

Distance-preserving manifold denoising for data-driven mechanics

Computer Methods in Applied Mechanics and Engineering

Bahador Bahmani

WaiChing Sun

2023/2/15

Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties

Computer Methods in Applied Mechanics and Engineering

Nikolaos N Vlassis

WaiChing Sun

2023/8/1

Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph

International Journal for Multiscale Computational Engineering

Chen Cai

Nikolaos Vlassis

Lucas Magee

Ran Ma

Zeyu Xiong

...

2023

Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced kalman filter

Computational Mechanics

Ruben Villarreal

Nikolaos N Vlassis

Nhon N Phan

Tommie A Catanach

Reese E Jones

...

2023/7

Geometric learning for computational mechanics, Part III: Physics-constrained response surface of geometrically nonlinear shells

Computer Methods in Applied Mechanics and Engineering

Mian Xiao

Ran Ma

WaiChing Sun

2023/10/1

Homogenized data magneto-active polymers

Karl Alexander Kalina

Philipp Gebhart

Jörg Brummund

Lennart Linden

WaiChing Sun

...

2023

A neural kernel method for capturing multiscale high-dimensional micromorphic plasticity of materials with internal structures

Computer Methods in Applied Mechanics and Engineering

Zeyu Xiong

Mian Xiao

Nikolaos Vlassis

WaiChing Sun

2023/11/1

Synthesizing realistic sand assemblies with denoising diffusion in latent space

arXiv preprint arXiv:2306.04411

Nikolaos N Vlassis

WaiChing Sun

Khalid A Alshibli

Richard A Regueiro

2023/6/7

A publicly available PyTorch-ABAQUS UMAT deep-learning framework for level-set plasticity

Mechanics of Materials

Hyoung Suk Suh

Chulmin Kweon

Brian Lester

Sharlotte Kramer

WaiChing Sun

2023/9/1

Domain partitioning material point method for simulating shock in polycrystalline energetic materials

Computer Methods in Applied Method and Engineering

Ran Ma

WaiChing Sun

Catalin R Picu

Tommy Sewell

2023

Objectivity and accuracy enhancement within ANN‐based multiscale material modeling

PAMM

Yousef Heider

WaiChing Sun

2023/3

Cover Image, Volume 46, Issue 11

International Journal for Numerical and Analytical Methods in Geomechanics

Qing Yin

Andò Edward

Gioacchino Viggiani

WaiChing Sun

2022

See List of Professors in WaiChing Sun University(Columbia University in the City of New York)

Co-Authors

H-index: 57
Jacob Fish

Jacob Fish

Columbia University in the City of New York

H-index: 44
John Rudnicki

John Rudnicki

Northwestern University

H-index: 40
Jose E. Andrade

Jose E. Andrade

California Institute of Technology

H-index: 25
M R Kuhn

M R Kuhn

University of Portland

H-index: 21
Qiushi Chen

Qiushi Chen

Clemson University

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