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WaiChing Sun

A review on data-driven constitutive laws for solids

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May 06, 2024
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Physics-Informed Diffusion Models

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Mar 21, 2024
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Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks

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Oct 30, 2023
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Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions

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Jul 24, 2023
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Synthesizing realistic sand assemblies with denoising diffusion in latent space

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Jun 07, 2023
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Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties

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Feb 24, 2023
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Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter

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Sep 27, 2022
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Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity

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Jul 30, 2022
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Manifold embedding data-driven mechanics

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Dec 18, 2021
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MD-inferred neural network monoclinic finite-strain hyperelasticity models for $β$-HMX: Sobolev training and validation against physical constraints

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Nov 29, 2021
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