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Discovering High-Entropy Oxides with a Machine-Learning Interatomic Potential.

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Title: Discovering High-Entropy Oxides with a Machine-Learning Interatomic Potential.
Authors: Sivak JT; The Pennsylvania State University, Department of Chemistry, University Park, Pennsylvania 16802, USA., Almishal SSI; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA., Caucci MK; The Pennsylvania State University, Department of Chemistry, University Park, Pennsylvania 16802, USA., Tan Y; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA., Srikanth D; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA., Petruska J; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA., Furst M; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA., Chen LQ; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.; The Pennsylvania State University, Department of Mathematics, University Park, Pennsylvania 16802, USA.; The Pennsylvania State University, Department of Engineering Science and Mechanics, University Park, Pennsylvania 16802, USA., Rost CM; Virginia Polytechnic Institute and State University, Department of Materials Science and Engineering, Blacksburg, Virginia 24061, USA., Maria JP; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA., Sinnott SB; The Pennsylvania State University, Department of Chemistry, University Park, Pennsylvania 16802, USA.; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.; The Pennsylvania State University, Institute for Computational and Data Sciences, University Park, Pennsylvania 16802, USA.
Source: Physical review letters [Phys Rev Lett] 2025 May 30; Vol. 134 (21), pp. 216101.
Publication Type: Journal Article
Journal Info: Publisher: American Physical Society Country of Publication: United States NLM ID: 0401141 Publication Model: Print Cited Medium: Internet ISSN: 1079-7114 (Electronic) Linking ISSN: 00319007 NLM ISO Abbreviation: Phys Rev Lett Subsets: MEDLINE; PubMed not MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Sivak+JT%22">Sivak JT</searchLink>; The Pennsylvania State University, Department of Chemistry, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Almishal+SSI%22">Almishal SSI</searchLink>; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Caucci+MK%22">Caucci MK</searchLink>; The Pennsylvania State University, Department of Chemistry, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Tan+Y%22">Tan Y</searchLink>; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Srikanth+D%22">Srikanth D</searchLink>; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Petruska+J%22">Petruska J</searchLink>; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Furst+M%22">Furst M</searchLink>; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Chen+LQ%22">Chen LQ</searchLink>; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.; The Pennsylvania State University, Department of Mathematics, University Park, Pennsylvania 16802, USA.; The Pennsylvania State University, Department of Engineering Science and Mechanics, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Rost+CM%22">Rost CM</searchLink>; Virginia Polytechnic Institute and State University, Department of Materials Science and Engineering, Blacksburg, Virginia 24061, USA.<br /><searchLink fieldCode="AU" term="%22Maria+JP%22">Maria JP</searchLink>; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.<br /><searchLink fieldCode="AU" term="%22Sinnott+SB%22">Sinnott SB</searchLink>; The Pennsylvania State University, Department of Chemistry, University Park, Pennsylvania 16802, USA.; The Pennsylvania State University, Department of Materials Science and Engineering, University Park, Pennsylvania 16802, USA.; The Pennsylvania State University, Institute for Computational and Data Sciences, University Park, Pennsylvania 16802, USA.
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  Data: <searchLink fieldCode="JN" term="%220401141%22">Physical review letters</searchLink> [Phys Rev Lett] 2025 May 30; Vol. 134 (21), pp. 216101.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Physical+Society%22">American Physical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0401141 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1079-7114 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200319007%22">00319007 </searchLink><i>NLM ISO Abbreviation: </i>Phys Rev Lett <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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        Value: 10.1103/PhysRevLett.134.216101
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              Text: 2025 May 30
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