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Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations
28 May 2022
Michael D. Vander Wal
R. McClarren
K. Humbird
AI4CE
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Papers citing
"Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations"
11 / 11 papers shown
Title
Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models
Michael D. Vander Wal
R. McClarren
K. Humbird
AI4CE
72
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
30
7
0
04 Jun 2021
Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data
K. Humbird
J. Peterson
J. Salmonson
B. Spears
64
21
0
19 Mar 2021
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Youngkyu Kim
Youngsoo Choi
David Widemann
T. Zohdi
AI4CE
51
196
0
25 Sep 2020
Transfer learning based multi-fidelity physics informed deep neural network
S. Chakraborty
PINN
OOD
AI4CE
72
165
0
19 May 2020
Physics-informed deep learning for incompressible laminar flows
Chengping Rao
Hao Sun
Yang Liu
PINN
AI4CE
112
224
0
24 Feb 2020
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
183
4,449
0
07 Nov 2019
Physics Informed Extreme Learning Machine (PIELM) -- A rapid method for the numerical solution of partial differential equations
Vikas Dwivedi
Balaji Srinivasan
PINN
61
193
0
08 Jul 2019
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture
S. Goswami
C. Anitescu
S. Chakraborty
Timon Rabczuk
PINN
72
610
0
04 Jul 2019
Transfer learning to model inertial confinement fusion experiments
K. Humbird
J. Peterson
R. McClarren
55
62
0
14 Dec 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
Yibo Yang
P. Perdikaris
AI4CE
PINN
126
359
0
09 Nov 2018
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