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Electronic structures of crystalline and amorphous GeSe and GeSbTe compounds using machine learning empirical pseudopotentials.

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Title: Electronic structures of crystalline and amorphous GeSe and GeSbTe compounds using machine learning empirical pseudopotentials.
Authors: Kang, Sungmo1 (AUTHOR), Kim, Rokyeon1 (AUTHOR) rrykim@gmail.com, Han, Seungwu2,3 (AUTHOR) hansw@snu.ac.kr, Son, Young-Woo1,2 (AUTHOR) hand@kias.re.kr
Source: APL Machine Learning. Sep2025, Vol. 3 Issue 3, p1-9. 9p.
Database: Academic Search Ultimate
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An: 188431038
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  Data: Electronic structures of crystalline and amorphous GeSe and GeSbTe compounds using machine learning empirical pseudopotentials.
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  Data: <searchLink fieldCode="AR" term="%22Kang%2C+Sungmo%22">Kang, Sungmo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Rokyeon%22">Kim, Rokyeon</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rrykim@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Han%2C+Seungwu%22">Han, Seungwu</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> hansw@snu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Son%2C+Young-Woo%22">Son, Young-Woo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hand@kias.re.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22APL+Machine+Learning%22">APL Machine Learning</searchLink>. Sep2025, Vol. 3 Issue 3, p1-9. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188431038
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1063/5.0270774
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      – Code: eng
        Text: English
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        PageCount: 9
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      – TitleFull: Electronic structures of crystalline and amorphous GeSe and GeSbTe compounds using machine learning empirical pseudopotentials.
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            NameFull: Kang, Sungmo
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            NameFull: Kim, Rokyeon
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            NameFull: Han, Seungwu
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              M: 09
              Text: Sep2025
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              Y: 2025
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              Value: 3
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              Value: 3
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            – TitleFull: APL Machine Learning
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