Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications.
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| Title: | Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications. |
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| Authors: | Morawietz, Tobias1, Artrith, Nongnuch2, nartrith@atomistic.net |
| Source: | Journal of Computer-Aided Molecular Design; Apr2021, Vol. 35 Issue 4, p557-586, 30p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 149617322 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Morawietz%2C+Tobias%22">Morawietz, Tobias</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Artrith%2C+Nongnuch%22">Artrith, Nongnuch</searchLink><relatesTo>2</relatesTo>, <i>nartrith@atomistic.net</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer-Aided+Molecular+Design%22">Journal of Computer-Aided Molecular Design</searchLink>; Apr2021, Vol. 35 Issue 4, p557-586, 30p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=149617322 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10822-020-00346-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 557 Titles: – TitleFull: Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Morawietz, Tobias – PersonEntity: Name: NameFull: Artrith, Nongnuch IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 0920654X Numbering: – Type: volume Value: 35 – Type: issue Value: 4 Titles: – TitleFull: Journal of Computer-Aided Molecular Design Type: main |
| ResultId | 1 |