dc.contributor.author
Ghysbrecht, Simon
dc.contributor.author
Donati, Luca
dc.contributor.author
Keller, Bettina G.
dc.date.accessioned
2024-12-12T11:01:34Z
dc.date.available
2024-12-12T11:01:34Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/45970
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-45680
dc.description.abstract
Modern potential energy surfaces have shifted attention to molecular simulations of chemical reactions. While various methods can estimate rate constants for conformational transitions in molecular dynamics simulations, their applicability to studying chemical reactions remains uncertain due to the high and sharp energy barriers and complex reaction coordinates involved. This study focuses on the thermal cis-trans isomerization in retinal, employing molecular simulations and comparing rate constant estimates based on one-dimensional rate theories with those based on sampling transitions and grid-based models for low-dimensional collective variable spaces. Even though each individual method to estimate the rate passes its quality tests, the rate constant estimates exhibit considerable disparities. Rate constant estimates based on one-dimensional reaction coordinates prove challenging to converge, even if the reaction coordinate is optimized. However, consistent estimates of the rate constant are achieved by sampling transitions and by multi-dimensional grid-based models.
en
dc.format.extent
16 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by-nc/4.0/
dc.subject
metadynamics
en
dc.subject
path collective variable
en
dc.subject
square root approximation
en
dc.subject
umbrella sampling
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::540 Chemie::540 Chemie und zugeordnete Wissenschaften
dc.title
Accuracy of Reaction Coordinate Based Rate Theories for Modelling Chemical Reactions: Insights From the Thermal Isomerization in Retinal
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e27529
dcterms.bibliographicCitation.doi
10.1002/jcc.27529
dcterms.bibliographicCitation.journaltitle
Journal of Computational Chemistry
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.volume
46
dcterms.bibliographicCitation.url
https://doi.org/10.1002/jcc.27529
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Chemie und Biochemie
refubium.affiliation.other
Institut für Mathematik
refubium.funding
DEAL Wiley
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1096-987X