Deep learning for thermal plasma simulation: Solving 1-D arc model as an example
Numerical modeling is an essential approach to understanding the behavior of thermal plasmas in various industrial applications. We propose a deep learning method for solving the partial differential equations in thermal plasma models. In this method a deep feed-forward neural network is constructed...
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Published in | Computer physics communications Vol. 257; p. 107496 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.12.2020
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Subjects | |
Online Access | Get full text |
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