Data-driven methods for building reduced kinetic Monte Carlo models of complex chemistry from molecular dynamics simulations

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dc.contributor.authorYang, Qian
dc.contributor.authorSing-Long C., Carlos A.
dc.contributor.authorChen, Enze
dc.contributor.authorReed, Evan J.
dc.contributor.editorGoldman, Nir
dc.date.accessioned2022-11-09T15:05:02Z
dc.date.available2022-11-09T15:05:02Z
dc.date.issued2019
dc.fuente.origenSpringer
dc.identifier.doi10.1007/978-3-030-05600-1_9
dc.identifier.eisbn978-3-030-05600-1
dc.identifier.isbn978-3-030-05599-8
dc.identifier.urihttps://doi.org/10.1007/978-3-030-05600-1_9
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/65447
dc.information.autorucEscuela de ingeniería ; Sing-Long C., Carlos A. ; S/I ; 126170
dc.information.autorucInstituto de ingeniería biológica y médica ; Sing-Long C., Carlos A. ; S/I ; 126170
dc.language.isoen
dc.nota.accesoContenido parcial
dc.relation.ispartofComputational approaches for chemistry under extreme conditions
dc.rightsacceso restringido
dc.titleData-driven methods for building reduced kinetic Monte Carlo models of complex chemistry from molecular dynamics simulationses_ES
dc.typeartículo
sipa.codpersvinculados126170
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