Transfer learning to model inertial confinement fusion experiments

14 December 2018

Papers citing "Transfer learning to model inertial confinement fusion experiments"

15 / 15 papers shown

Title
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision Nathaniel Hudson J. G. Pauloski Matt Baughman Alok V. Kamatar Mansi Sakarvadia ... Owen Price Skelly Ben Blaiszik Rick L. Stevens Kyle Chard Ian Foster MedIm 29 8 0 05 Feb 2024
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data M. Olson Shusen Liu Jayaraman J. Thiagarajan B. Kustowski Weng-Keen Wong Rushil Anirudh AI4CE 41 1 0 06 Dec 2023
Transfer learning for predicting source terms of principal component transport in chemically reactive flow Kisung Jung T. Echekki Jacqueline H. Chen Mohammad Khalil 22 0 0 01 Dec 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 34 63 0 30 Nov 2022
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations Michael D. Vander Wal R. McClarren K. Humbird AI4CE 27 4 0 28 May 2022
Transfer learning driven design optimization for inertial confinement fusion K. Humbird J. Peterson 37 6 0 26 May 2022
Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models Michael D. Vander Wal R. McClarren K. Humbird AI4CE 28 6 0 02 Mar 2022
Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements Michael D. Vander Wal R. McClarren K. Humbird AI4CE 15 7 0 04 Jun 2021
Suppressing simulation bias using multi-modal data B. Kustowski J. Gaffney B. Spears G. Anderson Rushil Anirudh P. Bremer Jayaraman J. Thiagarajan G. Kruse Ryan Nora AI4CE 11 14 0 19 Apr 2021
Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data K. Humbird J. Peterson J. Salmonson B. Spears 8 21 0 19 Mar 2021
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design Maria Fernandez M. Grosskopf Julia B. Nakhleh B. Wilson J. Kline G. Srinivasan 8 7 0 28 Oct 2020
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning Julia B. Nakhleh M. G. Fernández-Godino M. Grosskopf B. Wilson J. Kline G. Srinivasan 21 7 0 08 Oct 2020
$ξ$ -torch: differentiable scientific computing library M. F. Kasim S. Vinko AI4CE 8 5 0 05 Oct 2020
Complete CVDL Methodology for Investigating Hydrodynamic Instabilities Reém Harel M. Rusanovsky Yehonatan Fridman A. Shimony Gal Oren AI4CE 20 6 0 03 Apr 2020
Sim-to-Real Domain Adaptation For High Energy Physics M. Baalouch Maxime Defurne Jean-Philippe Poli Noëlie Cherrier AI4CE 8 4 0 17 Dec 2019