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pro vyhledávání: '"Nga Nguyen-Fotiadis"'
Autor:
Deborah A. Shutt, Garry R. Maskaly, Vincent P. Chiravalle, Andy Liao, Chris L. Fryer, Kyle S. Hickmann, Nga Nguyen-Fotiadis
Publikováno v:
Applications of Machine Learning 2021.
We demonstrate and analyze a new methodology for detecting and characterizing shocks in high energy density physics (HEDP) experiments using simulated radiographs. Our method consists of simulating many variations of an HEDP experiment using a multi-
Learning to integrate non-linear equations from highly resolved direct numerical simulations (DNSs) has seen recent interest for reducing the computational load for fluid simulations. Here, we focus on determining a flux-limiter for shock capturing m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf8982f44df0de3eba2c789a62936017