Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems

1 September 2021

Papers citing "Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems"

8 / 8 papers shown

Title
DPA-WNO: A gray box model for a class of stochastic mechanics problem Tushar Souvik Chakraborty DiffM 16 3 0 24 Sep 2023
Improved generalization with deep neural operators for engineering systems: Path towards digital twin Kazuma Kobayashi James Daniell S. B. Alam AI4CE 22 20 0 17 Jan 2023
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life Kazuma Kobayashi S. B. Alam 13 48 0 17 Jan 2023
Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems Tapas Tripura A. Desai S. Adhikari S. Chakraborty AI4CE 19 21 0 19 Dec 2022
Deep Physics Corrector: A physics enhanced deep learning architecture for solving stochastic differential equations Tushar S. Chakraborty 32 6 0 20 Sep 2022
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations Shailesh Garg S. Chakraborty 14 6 0 12 Jun 2022
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 117 503 0 11 Mar 2020
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic Loic Le Gratiet AI4CE 86 290 0 02 Oct 2012