Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification

23 February 2024

Papers citing "Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification"

3 / 3 papers shown

Title
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks M. Haywood-Alexander Giacamo Arcieri A. Kamariotis Eleni Chatzi 34 1 0 02 Oct 2024
On Fractional Moment Estimation from Polynomial Chaos Expansion Lukávs Novák Marcos Valdebenito Matthias Faes 20 2 0 04 Mar 2024
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 183 760 0 13 Mar 2020