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Xiu Yang

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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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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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