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WaiChing Sun
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 24
Top Topics
Deep Learning
Neural Network
Denoising
Manifold Embedding
Top Venues
CoRR
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Publications
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Jan-Hendrik Bastek
,
WaiChing Sun
,
Dennis M. Kochmann
Physics-Informed Diffusion Models.
CoRR
(2024)
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
(2024)
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
(2024)
Nikolaos N. Vlassis
,
WaiChing Sun
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties.
CoRR
(2023)
Nikolaos N. Vlassis
,
WaiChing Sun
,
Khalid A. Alshibli
,
Richard A. Regueiro
Synthesizing realistic sand assemblies with denoising diffusion in latent space.
CoRR
(2023)
Bahador Bahmani
,
WaiChing Sun
Physics-constrained symbolic model discovery for polyconvex incompressible hyperelastic materials.
CoRR
(2023)
Bahador Bahmani
,
Hyoung Suk Suh
,
WaiChing Sun
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions.
CoRR
(2023)
Jaehong Chung
,
Rasool Ahmad
,
WaiChing Sun
,
Wei Cai
,
Tapan Mukerji
Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks.
CoRR
(2023)
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
(2023)
Nikolaos N. Vlassis
,
WaiChing Sun
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity.
CoRR
(2022)
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
(2022)
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
(2021)
Bahador Bahmani
,
WaiChing Sun
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings.
CoRR
(2021)
Bahador Bahmani
,
WaiChing Sun
Manifold embedding data-driven mechanics.
CoRR
(2021)
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
(2021)
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
(2021)
Bahador Bahmani
,
WaiChing Sun
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data.
CoRR
(2020)
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
(2020)
Nikolaos N. Vlassis
,
WaiChing Sun
Sobolev training of thermodynamic-informed neural networks for smoothed elasto-plasticity models with level set hardening.
CoRR
(2020)
Nikolaos Vlassis
,
Ran Ma
,
WaiChing Sun
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity.
CoRR
(2020)
Hyoung Suk Suh
,
WaiChing Sun
An immersed phase field fracture model for fluid-infiltrating porous media with evolving Beavers-Joseph-Saffman condition.
CoRR
(2020)
Hyoung Suk Suh
,
WaiChing Sun
,
Devin O'Connor
A phase field model for cohesive fracture in micropolar continua.
CoRR
(2020)
Kun Wang
,
WaiChing Sun
,
Qiang Du
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation.
CoRR
(2019)
Kun Wang
,
WaiChing Sun
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning.
CoRR
(2018)