Neural Network Reconstruction of Plasma Space-Time
We explore the use of Physics-Informed Neural Networks (PINNs) for reconstructing full magnetohydrodynamic solutions from partial samples, mimicking the recreation of space-time environments around spacecraft observations. We use one-dimensional magneto- and hydrodynamic benchmarks, namely the Sod,...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
Frontiers Media S.A.
2021-09-01
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| Edice: | Frontiers in Astronomy and Space Sciences |
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| On-line přístup: | https://www.frontiersin.org/articles/10.3389/fspas.2021.732275/full |