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Published in Machine learning: science and technology (01.03.2024)
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Published in Machine learning: science and technology (01.12.2022)
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Efficient data acquisition and training of collisional-radiative model artificial neural network surrogates through adaptive parameter space sampling
Garland, Nathan A., Maulik, Romit, Tang, Qi, Tang, Xian-Zhu, Balaprakash, Prasanna
Published in Machine learning: science and technology (10.10.2022)
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Published in Machine learning: science and technology (10.10.2022)
Journal Article
An iterative deep learning procedure for determining electron scattering cross-sections from transport coefficients
Muccignat, Dale L, Boyle, Gregory G, Garland, Nathan A, Stokes, Peter W, White, Ronald D
Year of Publication 22.11.2023
Year of Publication 22.11.2023
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Journal Article
Efficient training of artificial neural network surrogates for a collisional-radiative model through adaptive parameter space sampling
Garland, Nathan A, Maulik, Romit, Tang, Qi, Tang, Xian-Zhu, Balaprakash, Prasanna
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Year of Publication 09.12.2021
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Published in arXiv.org (10.02.2020)
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Impact of a minority relativistic electron tail interacting with a thermal plasma containing high-atomic-number impurities
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Published in arXiv.org (19.12.2019)
Published in arXiv.org (19.12.2019)
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