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Composition-Structure-Property links in rocksalt AgMnGeSbTe high-entropy alloys: Insights from experiments and deep learning potential atomic simulations.

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Title: Composition-Structure-Property links in rocksalt AgMnGeSbTe high-entropy alloys: Insights from experiments and deep learning potential atomic simulations.
Authors: Lin, Che-Hsin1, Ju, Shin-Pon1,2, jushin-pon@mail.nsysu.edu.tw, Wang, Wen-Zhi1, Yeh, Po-Yuan1
Source: Computational Materials Science; Sep2024, Vol. 244, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 179236481
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Composition-Structure-Property links in rocksalt AgMnGeSbTe high-entropy alloys: Insights from experiments and deep learning potential atomic simulations.
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  Data: <searchLink fieldCode="JN" term="%22Computational+Materials+Science%22">Computational Materials Science</searchLink>; Sep2024, Vol. 244, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179236481
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.commatsci.2024.113160
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      – Code: eng
        Text: English
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      – TitleFull: Composition-Structure-Property links in rocksalt AgMnGeSbTe high-entropy alloys: Insights from experiments and deep learning potential atomic simulations.
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            NameFull: Lin, Che-Hsin
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            NameFull: Ju, Shin-Pon
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            NameFull: Wang, Wen-Zhi
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            – D: 01
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              Text: Sep2024
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              Y: 2024
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              Value: 244
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