Jiun-Shyan Chen

Orcid: 0000-0002-6871-8815

According to our database1, Jiun-Shyan Chen authored at least 20 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.
CoRR, 2024

Interpolation-based immersogeometric analysis methods for multi-material and multi-physics problems.
CoRR, 2024

N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems.
CoRR, 2024

2023
gLaSDI: Parametric physics-informed greedy latent space dynamics identification.
J. Comput. Phys., 2023

Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method.
CoRR, 2023

A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture.
CoRR, 2023

A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems.
CoRR, 2023

Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures.
CoRR, 2023

A Quasi-Conforming Embedded Reproducing Kernel Particle Method for Heterogeneous Materials.
CoRR, 2023

2022
Certified data-driven physics-informed greedy auto-encoder simulator.
CoRR, 2022

Deep autoencoders for physics-constrained data-driven nonlinear materials modeling.
CoRR, 2022

Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials.
CoRR, 2022

A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization.
CoRR, 2022

A deformation-dependent coupled Lagrangian/semi-Lagrangian meshfree hydromechanical formulation for landslide modeling.
Adv. Model. Simul. Eng. Sci., 2022

2021
Deep Autoencoders for Nonlinear Physics-Constrained Data-Driven Computational Framework with Application to Biological Tissue Modeling.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2019
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database.
CoRR, 2019

2017
An enhanced-strain error estimator for Galerkin meshfree methods based on stabilized conforming nodal integration.
Comput. Math. Appl., 2017

2016
Pixel-based meshfree modelling of skeletal muscles.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016

2014
Pixel Based Meshfree Modeling of Skeletal Muscles.
Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2014

2002
CAD-Based Shape Optimization Using a Meshfree Method.
Concurr. Eng. Res. Appl., 2002


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