Forming a database to study reversed magnetic shear from the National Spherical Torus eXperiment using machine learning.

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Title: Forming a database to study reversed magnetic shear from the National Spherical Torus eXperiment using machine learning.
Authors: Uzun-Kaymak, I. U.1 (AUTHOR) uzunkaymak@novaphotonics.com, Foley, E. L.1 (AUTHOR), Galante, M. E.1 (AUTHOR), Levinton, F. M.1 (AUTHOR)
Source: Physics of Plasmas. Nov2024, Vol. 31 Issue 11, p1-6. 6p.
Database: Academic Search Ultimate
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An: 181152764
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  Data: Forming a database to study reversed magnetic shear from the National Spherical Torus eXperiment using machine learning.
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  Data: <searchLink fieldCode="JN" term="%22Physics+of+Plasmas%22">Physics of Plasmas</searchLink>. Nov2024, Vol. 31 Issue 11, p1-6. 6p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=181152764
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        Value: 10.1063/5.0222490
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      – Code: eng
        Text: English
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      – TitleFull: Forming a database to study reversed magnetic shear from the National Spherical Torus eXperiment using machine learning.
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              Text: Nov2024
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