DC Element
Wert
Sprache
dc.contributor.author
Heid, Esther Carina
-
dc.date.accessioned
2023-02-15T11:37:37Z
-
dc.date.available
2023-02-15T11:37:37Z
-
dc.date.issued
2022-04-26
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Heid, E. C. (2022, April 26). <i>Improving machine learning models of chemical systems via cheminformatics</i> [Conference Presentation]. Institutsseminar IBM, Switzerland.</div> </div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/152630
-
dc.language.iso
en
-
dc.subject
machine learning
-
dc.subject
Chemoinformatics
-
dc.title
Improving machine learning models of chemical systems via cheminformatics
-
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Conference Presentation
-
tuw.researchTopic.id
Q3
-
tuw.researchTopic.id
M2
-
tuw.researchTopic.id
C1
-
tuw.researchTopic.name
Quantum Modeling and Simulation
-
tuw.researchTopic.name
Materials Characterization
-
tuw.researchTopic.name
Computational Materials Science
-
tuw.researchTopic.value
20
-
tuw.researchTopic.value
40
-
tuw.researchTopic.value
40
-
tuw.publication.orgunit
E165-03-1 - Forschungsgruppe Theoretische Materialchemie
-
tuw.author.orcid
0000-0002-8404-6596
-
tuw.event.name
Institutsseminar IBM
-
tuw.event.startdate
26-04-2022
-
tuw.event.enddate
26-04-2022
-
tuw.event.online
Online
-
tuw.event.type
Event for scientific audience
-
tuw.event.country
CH
-
tuw.event.presenter
Heid, Esther Carina
-
tuw.presentation.online
Online
-
wb.sciencebranch
Chemie
-
wb.sciencebranch.oefos
1040
-
wb.sciencebranch.value
100
-
item.languageiso639-1
en
-
item.openairetype
conference paper not in proceedings
-
item.grantfulltext
none
-
item.fulltext
no Fulltext
-
item.cerifentitytype
Publications
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cp
-
crisitem.author.dept
E165-03-1 - Forschungsgruppe Theoretische Materialchemie
-
crisitem.author.orcid
0000-0002-8404-6596
-
crisitem.author.parentorg
E165-03 - Forschungsbereich Theoretische Chemie
-
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