date: 2022-06-09T16:43:23Z pdf:PDFVersion: 1.3 pdf:docinfo:title: Thermodynamics up to the melting point in a TaVCrW high entropy alloy: Systematic $ab$ $initio$ study aided by machine learning potentials xmp:CreatorTool: Copyright 2022 American Physical Society access_permission:can_print_degraded: true subject: Phys. Rev. B 105, 214302 (2022). doi:10.1103/PhysRevB.105.214302 dc:format: application/pdf; version=1.3 pdf:docinfo:creator_tool: Copyright 2022 American Physical Society access_permission:fill_in_form: true pdf:encrypted: false dc:title: Thermodynamics up to the melting point in a TaVCrW high entropy alloy: Systematic $ab$ $initio$ study aided by machine learning potentials modified: 2022-06-09T16:43:23Z cp:subject: Phys. Rev. B 105, 214302 (2022). doi:10.1103/PhysRevB.105.214302 pdf:docinfo:custom:CrossMarkDomains[1]: journals.aps.org pdf:docinfo:subject: Phys. Rev. B 105, 214302 (2022). doi:10.1103/PhysRevB.105.214302 pdf:docinfo:creator: Ying Zhou meta:author: Prashanth Srinivasan meta:creation-date: 2022-06-09T16:42:55Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2022-06-10 created: 2022-06-09T16:42:55Z access_permission:extract_for_accessibility: true Creation-Date: 2022-06-09T16:42:55Z pdf:docinfo:custom:doi: 10.1103/PhysRevB.105.214302 pdf:docinfo:custom:CrossmarkDomainExclusive: false Author: Prashanth Srinivasan producer: Acrobat Distiller 10.0.0 (Windows) CrossmarkDomainExclusive: false pdf:docinfo:producer: Acrobat Distiller 10.0.0 (Windows) doi: 10.1103/PhysRevB.105.214302 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Phys. Rev. B 105, 214302 (2022). doi:10.1103/PhysRevB.105.214302 Keywords: doi:10.1103/PhysRevB.105.214302 url:https://doi.org/10.1103/PhysRevB.105.214302 access_permission:modify_annotations: true dc:creator: Prashanth Srinivasan description: Phys. Rev. B 105, 214302 (2022). doi:10.1103/PhysRevB.105.214302 dcterms:created: 2022-06-09T16:42:55Z Last-Modified: 2022-06-09T16:43:23Z dcterms:modified: 2022-06-09T16:43:23Z title: Thermodynamics up to the melting point in a TaVCrW high entropy alloy: Systematic $ab$ $initio$ study aided by machine learning potentials xmpMM:DocumentID: uuid:c849f036-0db4-43e0-b93c-c99b2e2b8153 Last-Save-Date: 2022-06-09T16:43:23Z CrossMarkDomains[1]: journals.aps.org pdf:docinfo:keywords: doi:10.1103/PhysRevB.105.214302 url:https://doi.org/10.1103/PhysRevB.105.214302 pdf:docinfo:modified: 2022-06-09T16:43:23Z meta:save-date: 2022-06-09T16:43:23Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Prashanth Srinivasan dc:subject: doi:10.1103/PhysRevB.105.214302 url:https://doi.org/10.1103/PhysRevB.105.214302 access_permission:assemble_document: true xmpTPg:NPages: 15 pdf:charsPerPage: 1458 access_permission:extract_content: true access_permission:can_print: true meta:keyword: doi:10.1103/PhysRevB.105.214302 url:https://doi.org/10.1103/PhysRevB.105.214302 access_permission:can_modify: true pdf:docinfo:created: 2022-06-09T16:42:55Z CrossmarkMajorVersionDate: 2022-06-10