Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics
Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
A Machine and Deep Learning methodology is developed and applied to give a high fidelity, fast surrogate for 2D resistive MHD simulations of MagLIF implosions. The resistive MHD code GORGON is used to generate an ensemble of implosions with different liner aspect ratios, initial gas preheat temperatures (that is, different adiabats), and different...
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Full title
Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics
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TN_cdi_proquest_journals_2779273430
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2779273430
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2302.10243
