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Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator


Sep 25, 2022
Bian Li, Hanchen Wang, Xiu Yang, Youzuo Lin

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* 21 pages, 11 figures 

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Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery


Jun 15, 2021
Peiyuan Gao, Xiu Yang, Yu-Hang Tang, Muqing Zheng, Amity Anderson, Vijayakumar Murugesan, Aaron Hollas, Wei Wang

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A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems


Mar 19, 2021
Zhiwei Fang, Justin Zhang, Xiu Yang

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Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression


Aug 03, 2020
Yixiang Deng, Guang Lin, Xiu Yang

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Nonnegativity-Enforced Gaussian Process Regression


Apr 07, 2020
Andrew Pensoneault, Xiu Yang, Xueyu Zhu

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When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method


Dec 07, 2018
Xiu Yang, Xueyu Zhu, Jing Li

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Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence


Nov 24, 2018
Xiu Yang, David Barajas-Solano, Guzel Tartakovsky, Alexandre Tartakovsky

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Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model Convergence


Sep 14, 2018
Xiu Yang, Guzel Tartakovsky, Alexandre Tartakovsky

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* Updated Figure 2(b),(c), Figure 3(c), Figure 4 and Figure 5 

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