Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems

31 January 2022

Papers citing "Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems"

10 / 10 papers shown

Title
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid Subhankar Sarkar Souvik Chakraborty 25 0 0 01 Sep 2024
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data Jyoti Rani Tapas Tripura H. Kodamana Souvik Chakraborty 27 5 0 08 Jan 2024
An approximate operator-based learning method for the numerical solutions of stochastic differential equations Jingyuan Li Wei Liu 28 0 0 13 Dec 2023
Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX) Styfen Schär S. Marelli Bruno Sudret AI4CE 13 13 0 28 Jun 2023
Improved generalization with deep neural operators for engineering systems: Path towards digital twin Kazuma Kobayashi James Daniell S. B. Alam AI4CE 33 20 0 17 Jan 2023
Model-agnostic stochastic model predictive control Tapas Tripura S. Chakraborty 18 5 0 23 Nov 2022
Solving Coupled Differential Equation Groups Using PINO-CDE Wenhao Ding Qing He Hanghang Tong Qingjing Wang Ping Wang OOD AI4CE 27 4 0 01 Oct 2022
Deep Physics Corrector: A physics enhanced deep learning architecture for solving stochastic differential equations Tushar S. Chakraborty 41 6 0 20 Sep 2022
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations Shailesh Garg S. Chakraborty 22 6 0 12 Jun 2022
Wavelet neural operator: a neural operator for parametric partial differential equations Tapas Tripura S. Chakraborty 17 63 0 04 May 2022