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ORCIDWaiChing Sun
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- affiliation: Columbia University, Department of Civil Engineering and Engineering Mechanics, New York, NY, USA
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Journal Articles
- 2021
[j1]Tianju Xue, WaiChing Sun
, Sigrid Adriaenssens, Yujie Wei, Chuanqi Liu:
A new finite element level set reinitialization method based on the shifted boundary method. J. Comput. Phys. 438: 110360 (2021)
Informal and Other Publications
- 2024
- [i26]Max Rosenkranz, Karl A. Kalina, Jörg Brummund, WaiChing Sun, Markus Kästner:
Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables. CoRR abs/2401.14270 (2024) - [i25]Jan-Hendrik Bastek, WaiChing Sun, Dennis M. Kochmann:
Physics-Informed Diffusion Models. CoRR abs/2403.14404 (2024) - [i24]Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N. Vlassis, Moritz Flaschel, Pietro Carrara, Laura De Lorenzis:
A review on data-driven constitutive laws for solids. CoRR abs/2405.03658 (2024) - [i23]Karl A. Kalina, Jörg Brummund, WaiChing Sun, Markus Kästner:
Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions. CoRR abs/2410.03378 (2024) - 2023
- [i22]Nikolaos N. Vlassis, WaiChing Sun:
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties. CoRR abs/2302.12881 (2023) - [i21]Nikolaos N. Vlassis, WaiChing Sun, Khalid A. Alshibli, Richard A. Regueiro:
Synthesizing realistic sand assemblies with denoising diffusion in latent space. CoRR abs/2306.04411 (2023) - [i20]Bahador Bahmani, Hyoung Suk Suh, WaiChing Sun:
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions. CoRR abs/2307.13149 (2023) - [i19]Karl A. Kalina, Philipp Gebhart, Jörg Brummund, Lennart Linden, WaiChing Sun, Markus Kästner:
Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria. CoRR abs/2308.16311 (2023) - [i18]Bahador Bahmani, WaiChing Sun:
Physics-constrained symbolic model discovery for polyconvex incompressible hyperelastic materials. CoRR abs/2310.04286 (2023) - [i17]Jaehong Chung, Rasool Ahmad, WaiChing Sun, Wei Cai, Tapan Mukerji:
Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks. CoRR abs/2310.19274 (2023) - 2022
- [i16]Nikolaos N. Vlassis, WaiChing Sun:
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity. CoRR abs/2208.00246 (2022) - [i15]Rubén Villarreal, Nikolaos N. Vlassis, Nhon N. Phan, Tommie A. Catanach, Reese E. Jones, Nathaniel A. Trask, Sharlotte L. B. Kramer, WaiChing Sun:
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter. CoRR abs/2209.13126 (2022) - 2021
- [i14]Chen Cai, Nikolaos Vlassis, Lucas Magee, Ran Ma, Zeyu Xiong, Bahador Bahmani, Teng-Fong Wong, Yusu Wang, WaiChing Sun:
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph. CoRR abs/2104.05608 (2021) - [i13]Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis, WaiChing Sun, Yanxun Xu:
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation. CoRR abs/2105.09980 (2021) - [i12]Bahador Bahmani, WaiChing Sun:
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings. CoRR abs/2107.11496 (2021) - [i11]Nikolaos N. Vlassis, Puhan Zhao, Ran Ma, Tommy Sewell, WaiChing Sun:
MD-inferred neural network monoclinic finite-strain hyperelasticity models for β-HMX: Sobolev training and validation against physical constraints. CoRR abs/2112.02077 (2021) - [i10]Bahador Bahmani, WaiChing Sun:
Manifold embedding data-driven mechanics. CoRR abs/2112.09842 (2021) - 2020
- [i9]Hyoung Suk Suh, WaiChing Sun, Devin O'Connor:
A phase field model for cohesive fracture in micropolar continua. CoRR abs/2001.01022 (2020) - [i8]Chuanqi Liu, WaiChing Sun:
ILS-MPM: an implicit level-set-based material point method for frictional particulate contact mechanics of deformable particles. CoRR abs/2001.02412 (2020) - [i7]Nikolaos Vlassis, Ran Ma, WaiChing Sun:
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity. CoRR abs/2001.04292 (2020) - [i6]Kun Wang, WaiChing Sun, Qiang Du:
A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks. CoRR abs/2004.09392 (2020) - [i5]Hyoung Suk Suh, WaiChing Sun:
An immersed phase field fracture model for fluid-infiltrating porous media with evolving Beavers-Joseph-Saffman condition. CoRR abs/2008.11815 (2020) - [i4]Nikolaos N. Vlassis, WaiChing Sun:
Sobolev training of thermodynamic-informed neural networks for smoothed elasto-plasticity models with level set hardening. CoRR abs/2010.11265 (2020) - [i3]Bahador Bahmani, WaiChing Sun:
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data. CoRR abs/2012.00165 (2020) - 2019
- [i2]Kun Wang, WaiChing Sun, Qiang Du:
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation. CoRR abs/1903.04307 (2019) - 2018
- [i1]Kun Wang, WaiChing Sun:
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning. CoRR abs/1810.10535 (2018)
Coauthor Index
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