Jiun-Shyan Chen

26 papers Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Image-based modeling of coupled electro-chemo-mechanical behavior of Li-ion battery cathode using an interface-modified reproducing kernel particle method.
Eng. Comput.
Kristen Susuki, Jeffery M. Allen, Jiun-Shyan Chen
2025 J jnl
Open-source shape optimization for isogeometric shells using FEniCS and OpenMDAO.
Eng. Comput.
Han Zhao, John T. Hwang, Jiun-Shyan Chen
2025 J jnl
Special issue on recent advances in meshfree and particle methods.
Eng. Comput.
Jiun-Shyan Chen, Zhen Chen, Michael Hillman, Tsung-Hui Alex Huang
2024 J jnl
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.
CoRR
Christophe Bonneville, Xiaolong He, April Tran, Jun Sur Richard Park, William Fries, Daniel A. Messenger, Siu Wun Cheung, Yeonjong Shin, David M. Bortz, Debojyoti Ghosh, Jiun-Shyan Chen, Jonathan L. Belof, Youngsoo Choi
2024 J jnl
Automated shape and thickness optimization for non-matching isogeometric shells using free-form deformation.
Eng. Comput.
Han Zhao, David Kamensky, John T. Hwang, Jiun-Shyan Chen
2024 J jnl
Image-Based RKPM for Accessing Failure Mechanisms in Composite Materials.
CoRR
Yanran Wang, Yichun Tang, Jing Du, Mike Hillman, Jiun-Shyan Chen
2024 J jnl
Interpolation-based immersogeometric analysis methods for multi-material and multi-physics problems.
CoRR
Jennifer E. Fromm, Nils Wunsch, Kurt Maute, John A. Evans, Jiun-Shyan Chen
2024 J jnl
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems.
CoRR
Jonghyuk Baek, Yanran Wang, Jiun-Shyan Chen
2023 J jnl
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems.
CoRR
Karan Taneja, Xiaolong He, Qizhi He, Jiun-Shyan Chen
2023 J jnl
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture.
CoRR
Jonghyuk Baek, Jiun-Shyan Chen
2023 J jnl
A Quasi-Conforming Embedded Reproducing Kernel Particle Method for Heterogeneous Materials.
CoRR
Ryan T. Schlinkman, Jonghyuk Baek, Frank N. Beckwith, Stacy M. Nelson, Jiun-Shyan Chen
2023 J jnl
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method.
CoRR
Jonghyuk Baek, Yanran Wang, Xiaolong He, Yu Lu, John S. McCartney, Jiun-Shyan Chen
2023 J jnl
Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures.
CoRR
Yanran Wang, Jonghyuk Baek, Yichun Tang, Jing Du, Mike Hillman, Jiun-Shyan Chen
2023 J jnl
gLaSDI: Parametric physics-informed greedy latent space dynamics identification.
J. Comput. Phys.
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
2022 J jnl
A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization.
CoRR
Jonghyuk Baek, Jiun-Shyan Chen, Kristen Susuki
2022 J jnl
A deformation-dependent coupled Lagrangian/semi-Lagrangian meshfree hydromechanical formulation for landslide modeling.
Adv. Model. Simul. Eng. Sci.
Jonghyuk Baek, Ryan T. Schlinkman, Frank N. Beckwith, Jiun-Shyan Chen
2022 J jnl
Certified data-driven physics-informed greedy auto-encoder simulator.
CoRR
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
2022 J jnl
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling.
CoRR
Xiaolong He, Qizhi He, Jiun-Shyan Chen
2022 J jnl
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials.
CoRR
Xiaolong He, Jiun-Shyan Chen
2022 J jnl
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification.
CoRR
Xiaolong He, Youngsoo Choi, William D. Fries, Jon Belof, Jiun-Shyan Chen
2021 — conf
Deep Autoencoders for Nonlinear Physics-Constrained Data-Driven Computational Framework with Application to Biological Tissue Modeling.
AAAI Spring Symposium: MLPS
Xiaolong He, Qizhi He, Jiun-Shyan Chen
2019 J jnl
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database.
CoRR
Qizhi He, Jiun-Shyan Chen
2017 J jnl
An enhanced-strain error estimator for Galerkin meshfree methods based on stabilized conforming nodal integration.
Comput. Math. Appl.
Marcus Olavi Rüter, Jiun-Shyan Chen
2016 J jnl
Pixel-based meshfree modelling of skeletal muscles.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Jiun-Shyan Chen, Ramya Rao Basava, Yantao Zhang, Robert Csapo, Vadim Malis, Usha Sinha, John Hodgson, Shantanu Sinha
2014 — conf
Pixel Based Meshfree Modeling of Skeletal Muscles.
CompIMAGE
Ramya Rao Basava, Jiun-Shyan Chen, Yantao Zhang, Shantanu Sinha, Usha Sinha, John Hodgson, Robert Csapo, Vadim Malis
2002 J jnl
CAD-Based Shape Optimization Using a Meshfree Method.
Concurr. Eng. Res. Appl.
Iulian R. Grindeanu, Nam Ho Kim, Kung K. Choi, Jiun-Shyan Chen