Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.
Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.
Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu. APIK: Active Physics-Informed Kriging Model with Partial Differential Equations. SIAM/ASA J. Uncertain. Quantification, 10(1):481-506, 2022. [doi]
Possibly Related PublicationsThe following publications are possibly variants of this publication: Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential EquationsBenjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon. iccs 2022: 372-379 [doi] Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equationsWenqian Chen, Panos Stinis. jcphy, 498:112683, February 2024. [doi]
The following publications are possibly variants of this publication: