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

7 December 2018

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

4 / 4 papers shown

Title
Monotonic Gaussian process for physics-constrained machine learning with materials science applications Anh Tran Kathryn A. Maupin T. Rodgers PINN AI4CE 36 6 0 31 Aug 2022
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling Chuan Lu Xueyu Zhu 26 11 0 01 Feb 2019
Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence Xiu Yang D. Barajas-Solano G. Tartakovsky A. Tartakovsky 33 77 0 24 Nov 2018
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic Loic Le Gratiet AI4CE 90 293 0 02 Oct 2012