WaiChing Sun

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Associate Professor

Columbia University

United States

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Recent Grants

Grant: Close

Collaborative Research: I-AIM: Interpretable Augmented Intelligence for Multiscale Material Discovery

Open Date: 2019-10-01

Close Date: 2021-09-30

Grant: Close

CAREER: Computational Failure Mechanics Across Multiple Scales with Deep Reinforcement Learning

Open Date: 2019-02-15

Close Date: 2024-01-31

Grant: Close

13th World Congress in Computational Mechanics; New York, New York; July 22-27, 2018

Open Date: 2018-01-01

Close Date: 2018-12-31

Grant: Close

Modeling the High-Rate Responses of Wetted Granular Materials Across Scales and the Third-Party Replicable Validation Exercises Utilizing 3D Printers

Open Date: 2017-03-15

Close Date: 2020-03-14

Grant: Close

An Integrated Multiscale Experimental-Numerical Analysis on Reconsolidation of Salt-Clay Mixture for Disposal of Heat-Generating Waste

Open Date: 2015-10-01

Close Date:

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Hyoung Suk Suh

Assistant Professor

Case Western Reserve University

UNITED STATES

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Wei Cai

Professor

Stanford University

UNITED STATES

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WaiChing Sun

Research Interests

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Recent Grants

Articles (20)

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

Prediction of effective elastic moduli of rocks using Graph Neural Networks

Synthesizing realistic sand assemblies with denoising diffusion in latent space

Topology optimization with graph neural network enabled regularized thresholding

Physics‐constrained symbolic model discovery for polyconvex incompressible hyperelastic materials

Phase‐field model for ductile fracture in the stress resultant geometrically exact shell

A MPM Lagrangian‐Eulerian hydrocode for simulating buried explosions in transversely isotropic geomaterials

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

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

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

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

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

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

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

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

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

Distance-preserving manifold denoising for data-driven mechanics

Geometric learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity

Geometric prior of multi-resolution yielding manifolds and the local closest point projection for nearly non-smooth plasticity

Geometric prior of multi-resolution yielding manifolds and the local closest point projection for nearly non-smooth plasticity

Collaborators (8)

Tommy Sewell

Bahador Bahmani

Catalin Picu

Lennart Linden

Khalid Alshibli

Richard Regueiro

Hyoung Suk Suh

Wei Cai

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