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ORCIDJiun-Shyan Chen
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2020 – today
- 2025
[j9]Jiun-Shyan Chen
, Zhen Chen, Michael Hillman, Tsung-Hui Alex Huang:
Special issue on recent advances in meshfree and particle methods. Eng. Comput. 41(3): 1335-1338 (2025)- [j8]Kristen Susuki, Jeffery M. Allen, Jiun-Shyan Chen:
Image-based modeling of coupled electro-chemo-mechanical behavior of Li-ion battery cathode using an interface-modified reproducing kernel particle method. Eng. Comput. 41(3): 1503-1534 (2025) - [j7]Han Zhao, John T. Hwang, Jiun-Shyan Chen:
Open-source shape optimization for isogeometric shells using FEniCS and OpenMDAO. Eng. Comput. 41(3): 1877-1899 (2025) - 2024
- [j6]Han Zhao, David Kamensky, John T. Hwang, Jiun-Shyan Chen:
Automated shape and thickness optimization for non-matching isogeometric shells using free-form deformation. Eng. Comput. 40(6): 3495-3518 (2024) - [i15]Jonghyuk Baek, Yanran Wang, Jiun-Shyan Chen:
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems. CoRR abs/2401.08544 (2024) - [i14]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 abs/2402.15937 (2024) - [i13]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 abs/2403.10748 (2024) - [i12]Yanran Wang, Yichun Tang, Jing Du, Mike Hillman, Jiun-Shyan Chen:
Image-Based RKPM for Accessing Failure Mechanisms in Composite Materials. CoRR abs/2411.10998 (2024) - 2023
- [j5]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: 112267 (2023) - [i11]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 abs/2304.06150 (2023) - [i10]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 abs/2305.16402 (2023) - [i9]Karan Taneja, Xiaolong He, Qizhi He, Jiun-Shyan Chen:
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems. CoRR abs/2305.16593 (2023) - [i8]Jonghyuk Baek, Jiun-Shyan Chen:
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture. CoRR abs/2307.01937 (2023) - [i7]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 abs/2309.13519 (2023) - 2022
- [j4]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): 20 (2022) - [i6]Xiaolong He, Youngsoo Choi, William D. Fries, Jon Belof, Jiun-Shyan Chen:
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification. CoRR abs/2204.12005 (2022) - [i5]Jonghyuk Baek, Jiun-Shyan Chen, Kristen Susuki:
A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization. CoRR abs/2204.13821 (2022) - [i4]Xiaolong He, Jiun-Shyan Chen:
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials. CoRR abs/2205.00578 (2022) - [i3]Xiaolong He, Qizhi He, Jiun-Shyan Chen:
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling. CoRR abs/2209.04416 (2022) - [i2]Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen:
Certified data-driven physics-informed greedy auto-encoder simulator. CoRR abs/2211.13698 (2022) - 2021
- [c2]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
2010 – 2019
- 2019
- [i1]Qizhi He, Jiun-Shyan Chen:
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database. CoRR abs/1907.12651 (2019) - 2017
- [j3]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): 2144-2171 (2017) - 2016
- [j2]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): 73-85 (2016) - 2014
- [c1]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: 316-327
2000 – 2009
- 2002
- [j1]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): 55-66 (2002)
Coauthor Index
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