Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System

30 September 2022

Papers citing "Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System"

6 / 6 papers shown

Title
Gaussian Processes for Surrogate Modeling of Discharged Fuel Nuclide Compositions Antonio Figueroa Malte Goettsche 18 9 0 23 Jun 2020
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction Lior Hirschfeld Kyle Swanson Kevin Kaichuang Yang Regina Barzilay Connor W. Coley 74 191 0 20 May 2020
Transfer learning based multi-fidelity physics informed deep neural network S. Chakraborty PINN OOD AI4CE 69 165 0 19 May 2020
The role of surrogate models in the development of digital twins of dynamic systems S. Chakraborty S. Adhikari R. Ganguli SyDa 48 106 0 25 Jan 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 61 609 0 04 Jul 2019
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 63 409 0 02 Feb 2018