dc.contributor.author
Wehmeyer, Christoph
dc.contributor.author
Rudorff, Guido Falk von
dc.contributor.author
Wolf, Sebastian
dc.contributor.author
Kabbe, Gabriel
dc.contributor.author
Schärf, Daniel
dc.contributor.author
Kühne, Thomas D.
dc.contributor.author
Sebastiani, Daniel
dc.date.accessioned
2018-06-08T03:47:10Z
dc.date.available
2014-03-11T18:12:14.968Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/15917
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-20104
dc.description.abstract
We present a stochastic, swarm intelligence-based optimization algorithm for
the prediction of global minima on potential energy surfaces of molecular
clusterstructures. Our optimization approach is a modification of the
artificial bee colony (ABC) algorithm which is inspired by the foraging
behavior of honey bees. We apply our modified ABC algorithm to the problem of
global geometryoptimization of molecular clusterstructures and show its
performance for clusters with 2–57 particles and different interatomic
interaction potentials.
en
dc.rights.uri
http://publishing.aip.org/authors/rights-and-permissions
dc.subject.ddc
500 Naturwissenschaften und Mathematik::530 Physik
dc.title
Foraging on the potential energy surface
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
The Journal of Chemical Physics. - 137 (2012), 19, Artikel Nr. 194110/1-5
dc.identifier.sepid
25016
dc.title.subtitle
a swarm intelligence-based optimizer for molecular geometry
dcterms.bibliographicCitation.doi
10.1063/1.4766821
dcterms.bibliographicCitation.url
http://dx.doi.org/10.1063/1.4766821
refubium.affiliation
Physik
de
refubium.affiliation.other
Institut für Theoretische Physik
refubium.mycore.fudocsId
FUDOCS_document_000000019886
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000003248
dcterms.accessRights.openaire
open access
dcterms.isPartOf.issn
00219606
