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Quantum machine learning for ABO3 perovskite structure prediction.

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Title: Quantum machine learning for ABO3 perovskite structure prediction.
Authors: Akrom, Muhamad1, m.akrom@dsn.dinus.ac.id, Rustad, Supriadi1, srustad@dsn.dinus.ac.id, Dipojono, Hermawan Kresno1,2, dipojono@itb.ac.id, Maezono, Ryo3, Kasai, Hideaki4
Source: Computational Materials Science; Feb2025, Vol. 250, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182870600
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Quantum machine learning for ABO3 perovskite structure prediction.
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  Data: <searchLink fieldCode="AU" term="%22Akrom%2C+Muhamad%22">Akrom, Muhamad</searchLink><relatesTo>1</relatesTo>, <i>m.akrom@dsn.dinus.ac.id</i><br /><searchLink fieldCode="AU" term="%22Rustad%2C+Supriadi%22">Rustad, Supriadi</searchLink><relatesTo>1</relatesTo>, <i>srustad@dsn.dinus.ac.id</i><br /><searchLink fieldCode="AU" term="%22Dipojono%2C+Hermawan+Kresno%22">Dipojono, Hermawan Kresno</searchLink><relatesTo>1,2</relatesTo>, <i>dipojono@itb.ac.id</i><br /><searchLink fieldCode="AU" term="%22Maezono%2C+Ryo%22">Maezono, Ryo</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Kasai%2C+Hideaki%22">Kasai, Hideaki</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Computational+Materials+Science%22">Computational Materials Science</searchLink>; Feb2025, Vol. 250, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182870600
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.commatsci.2025.113694
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Quantum machine learning for ABO3 perovskite structure prediction.
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            NameFull: Akrom, Muhamad
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            NameFull: Rustad, Supriadi
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            NameFull: Dipojono, Hermawan Kresno
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            NameFull: Maezono, Ryo
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              M: 02
              Text: Feb2025
              Type: published
              Y: 2025
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              Value: 09270256
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              Value: 250
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