Learning governing physics from output only measurements

11 August 2022

Papers citing "Learning governing physics from output only measurements"

6 / 6 papers shown

Title
A change of measure enhanced near exact Euler Maruyama scheme for the solution to nonlinear stochastic dynamical systems Tapas Tripura M. Imran B. Hazra S. Chakraborty 24 7 0 24 Aug 2021
Bayesian equation selection on sparse data for discovery of stochastic dynamical systems Kushagra Gupta Dootika Vats Snigdhansu Chatterjee 46 3 0 12 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 500 2,414 0 18 Oct 2020
Transfer learning based multi-fidelity physics informed deep neural network S. Chakraborty PINN OOD AI4CE 72 165 0 19 May 2020
Simulation free reliability analysis: A physics-informed deep learning based approach S. Chakraborty AI4CE 33 16 0 04 May 2020
$Transfer learning enhanced physics informed neural network for phase-field modeling of fracture$ Transfer learning enhanced physics informed neural network for phase-field modeling of fracture S. Goswami C. Anitescu S. Chakraborty Timon Rabczuk PINN 75 610 0 04 Jul 2019