Deep Autoencoders for Nonlinear Physics-Constrained Data-Driven Computational Framework with Application to Biological Tissue Modeling. - Xiaolong He 001; Qizhi He; Jiun-Shyan Chen (AAAI Spring Symposium: MLPS, 2021)

LaSDI: Parametric Latent Space Dynamics Identification. - William Fries; Xiaolong He 001; Youngsoo Choi (CoRR, 2022)

Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials. - Xiaolong He 001; Jiun-Shyan Chen (CoRR, 2022)

Deep autoencoders for physics-constrained data-driven nonlinear materials modeling. - Xiaolong He 001; Qizhi He; Jiun-Shyan Chen (CoRR, 2022)

Certified data-driven physics-informed greedy auto-encoder simulator. - Xiaolong He 001; Youngsoo Choi; William D. Fries; Jonathan L. Belof; Jiun-Shyan Chen (CoRR, 2022)

Thermodynamically Consistent Physics-Informed Data-Driven Computing and Reduced-Order Modeling of Nonlinear Materials - Xiaolong He 001 (2022)

A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems. - Karan Taneja; Xiaolong He 001; Qizhi He; Jiun-Shyan Chen (CoRR, 2023)

Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method. - Jonghyuk Baek; Yanran Wang; Xiaolong He 001; Yu Lu; John S. McCartney; Jiun-Shyan Chen (CoRR, 2023)

Weak-Form Latent Space Dynamics Identification. - April Tran; Xiaolong He 001; Daniel A. Messenger; Youngsoo Choi; David M. Bortz (CoRR, 2023)

gLaSDI: Parametric physics-informed greedy latent space dynamics identification. - Xiaolong He 001; Youngsoo Choi; William D. Fries; Jonathan L. Belof; Jiun-Shyan Chen (J. Comput. Phys., 2023)

A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. - Christophe Bonneville; Xiaolong He 001; 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; et al. (CoRR, 2024)

Physics-informed active learning with simultaneous weak-form latent space dynamics identification. - Xiaolong He 001; April Tran; David M. Bortz; Youngsoo Choi (CoRR, 2024)

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. - Xiaolong He 001; Yeonjong Shin; Anthony Gruber; Sohyeon Jung; Kookjin Lee; Youngsoo Choi (CoRR, 2025)