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

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

24 November 2018

D. Barajas-Solano

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

10 / 10 papers shown

Title
Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes Ming Zhong Dehao Liu Raymundo Arroyave U. Braga-Neto AI4CE SSL 31 1 0 08 Apr 2024
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression S. Z. Ashtiani Mohammad Sarabian K. Laksari H. Babaee 36 2 0 14 Mar 2024
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation Promiti Chakroborty Somayajulu L. N. Dhulipala Yifeng Che Wen Jiang B. Spencer J. Hales Michael D. Shields AI4CE 34 3 0 07 Dec 2022
$Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations$ Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations Ling Guo Hao Wu Xiao-Jun Yu Tao Zhou PINN AI4CE 37 58 0 16 Mar 2022
Failure-averse Active Learning for Physics-constrained Systems Cheolhei Lee Xing Wang Jianguo Wu Xiaowei Yue AI4CE 19 7 0 27 Oct 2021
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation Somayajulu L. N. Dhulipala Michael D. Shields B. Spencer C. Bolisetti A. Slaughter V. Labouré P. Chakroborty 37 24 0 25 Jun 2021
Physics-informed CoKriging model of a redox flow battery Amanda A. Howard A. Tartakovsky 22 12 0 17 Jun 2021
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges L. Swiler Mamikon A. Gulian A. Frankel Cosmin Safta J. Jakeman GP AI4CE 15 103 0 16 Jun 2020
When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method Xiu Yang Xueyu Zhu Jing Li 21 15 0 07 Dec 2018
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic Loic Le Gratiet AI4CE 90 292 0 02 Oct 2012