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AuthorKorth, Martindc.contributor.author
Date of accession2020-04-30T11:36:56Zdc.date.accessioned
Available in OPARU since2020-04-30T11:36:56Zdc.date.available
Date of first publication2014dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordGAUSSIAN-BASIS SETSdc.subject
KeywordLI-ION BATTERIESdc.subject
KeywordMOLECULAR-DYNAMICSdc.subject
KeywordELECTROCHEMICAL WINDOWSdc.subject
KeywordLITHIUMdc.subject
KeywordHARDNESSdc.subject
KeywordATOMSdc.subject
KeywordSTABILITYdc.subject
KeywordCARBONATEdc.subject
KeywordAFFINITYdc.subject
Dewey Decimal GroupDDC 540 / Chemistry & allied sciencesdc.subject.ddc
TitleLarge-scale virtual high-throughput screening for the identification of new battery electrolyte solvents: evaluation of electronic structure theory methodsdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Naturwissenschaftenuulm.affiliationGeneral
InstitutionInstitut für Theoretische Chemieuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1039/c4cp00547cdc.identifier.doiExternal
Source - Title of sourcePhysical Chemistry Chemical Physicssource.title
Source - Place of publicationRoyal Society of Chemistrysource.publisher
Source - Volume16source.volume
Source - Issue17source.issue
Source - Year2014source.year
Source - From page7919source.fromPage
Source - To page7926source.toPage
Source - ISSN1463-9076source.identifier.issn
Source - eISSN1463-9084source.identifier.eissn
CommunityFakultät für Naturwissenschaftenuulm.community
WoS000334200400032uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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