Jiun-Shyan Chen

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 18

Top Topics

Computational Framework

Reproducing Kernel

Greedy Strategy

Top Venues

J. Comput. Phys.

Comput. Math. Appl.

Adv. Model. Simul. Eng. Sci.

Publications

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
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. CoRR (2024)
Jennifer E. Fromm, Nils Wunsch, Kurt Maute, John A. Evans, Jiun-Shyan Chen
Interpolation-based immersogeometric analysis methods for multi-material and multi-physics problems. CoRR (2024)
Jonghyuk Baek, Yanran Wang, Jiun-Shyan Chen
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems. CoRR (2024)
Yanran Wang, Jonghyuk Baek, Yichun Tang, Jing Du, Mike Hillman, Jiun-Shyan Chen
Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures. CoRR (2023)
Ryan T. Schlinkman, Jonghyuk Baek, Frank N. Beckwith, Stacy M. Nelson, Jiun-Shyan Chen
A Quasi-Conforming Embedded Reproducing Kernel Particle Method for Heterogeneous Materials. CoRR (2023)
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
gLaSDI: Parametric physics-informed greedy latent space dynamics identification. J. Comput. Phys. 489 (2023)
Jonghyuk Baek, Yanran Wang, Xiaolong He, Yu Lu, John S. McCartney, Jiun-Shyan Chen
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method. CoRR (2023)
Jonghyuk Baek, Jiun-Shyan Chen
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture. CoRR (2023)
Xiaolong He, Youngsoo Choi, William D. Fries, Jon Belof, Jiun-Shyan Chen
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification. CoRR (2022)
Jonghyuk Baek, Jiun-Shyan Chen, Kristen Susuki
A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization. CoRR (2022)
Xiaolong He, Jiun-Shyan Chen
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials. CoRR (2022)
Jonghyuk Baek, Ryan T. Schlinkman, Frank N. Beckwith, Jiun-Shyan Chen
A deformation-dependent coupled Lagrangian/semi-Lagrangian meshfree hydromechanical formulation for landslide modeling. Adv. Model. Simul. Eng. Sci. 9 (1) (2022)
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
Certified data-driven physics-informed greedy auto-encoder simulator. CoRR (2022)
Xiaolong He, Qizhi He, Jiun-Shyan Chen
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling. CoRR (2022)
Xiaolong He, Qizhi He, Jiun-Shyan Chen
Deep Autoencoders for Nonlinear Physics-Constrained Data-Driven Computational Framework with Application to Biological Tissue Modeling. AAAI Spring Symposium: MLPS (2021)
Qizhi He, Jiun-Shyan Chen
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database. CoRR (2019)
Marcus Olavi Rüter, Jiun-Shyan Chen
An enhanced-strain error estimator for Galerkin meshfree methods based on stabilized conforming nodal integration. Comput. Math. Appl. 74 (9) (2017)
Jiun-Shyan Chen, Ramya Rao Basava, Yantao Zhang, Robert Csapo, Vadim Malis, Usha Sinha, John Hodgson, Shantanu Sinha
Pixel-based meshfree modelling of skeletal muscles. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4 (2) (2016)
Ramya Rao Basava, Jiun-Shyan Chen, Yantao Zhang, Shantanu Sinha, Usha Sinha, John Hodgson, Robert Csapo, Vadim Malis
Pixel Based Meshfree Modeling of Skeletal Muscles. CompIMAGE (2014)
Iulian R. Grindeanu, Nam Ho Kim, Kung K. Choi, Jiun-Shyan Chen
CAD-Based Shape Optimization Using a Meshfree Method. Concurr. Eng. Res. Appl. 10 (1) (2002)