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Modeling of electron nonlocal transport in plasmas using artificial neural networks
| dc.rights.license | open | en_US |
| dc.contributor.author | LAMY, Corisande | |
| hal.structure.identifier | Laboratoire des Composites Thermostructuraux [LCTS] | |
| dc.contributor.author | DUBROCA, Bruno | |
| dc.contributor.author | NICOLAI, Philippe | |
| dc.contributor.author | TIKHONCHUK, Vladimir | |
| dc.contributor.author | FEUGEAS, Jean-Luc | |
| dc.date.accessioned | 2023-01-25T08:46:20Z | |
| dc.date.available | 2023-01-25T08:46:20Z | |
| dc.date.issued | 2022-05-06 | |
| dc.identifier.issn | 2470-0053, 2470-0045 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/171779 | |
| dc.description.abstractEn | This article presents the use of artificial neural networks (ANN) to predict nonlocal heat flux transport within hydrodynamic simulations. Several cases of laser driven ablation of a plastic target are considered. The database for the ANN training phase is built using the transport module of the hydrodynamic code CHIC. It covers a range of parameters characteristic of laser experiments in the context of high-energy-density physics. Results show that an ANN can efficiently replace a module of nonlocal transport in one- and two-dimensional hydrodynamic simulations, with an error less than 3% in a radius of 0.5μm and an average computation gain of a factor 433 in two dimensions. | |
| dc.language.iso | EN | en_US |
| dc.title.en | Modeling of electron nonlocal transport in plasmas using artificial neural networks | |
| dc.title.alternative | Phys. Rev. E | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1103/PhysRevE.105.055201 | en_US |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Matériaux | en_US |
| bordeaux.journal | Physical Review E | en_US |
| bordeaux.volume | 105 | en_US |
| bordeaux.hal.laboratories | Laboratoire des Composites Thermo Structuraux (LCTS) - UMR 5801 | en_US |
| bordeaux.issue | 5 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | CNRS | en_US |
| bordeaux.institution | CEA | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| hal.identifier | hal-03955490 | |
| hal.version | 1 | |
| hal.date.transferred | 2023-01-25T08:46:23Z | |
| hal.export | true | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Physical%20Review%20E&rft.date=2022-05-06&rft.volume=105&rft.issue=5&rft.eissn=2470-0053,%202470-0045&rft.issn=2470-0053,%202470-0045&rft.au=LAMY,%20Corisande&DUBROCA,%20Bruno&NICOLAI,%20Philippe&TIKHONCHUK,%20Vladimir&FEUGEAS,%20Jean-Luc&rft.genre=article |
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