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dc.contributor.authorGobbo, Gianpaolo
dc.contributor.authorBellucci, Michael A.
dc.contributor.authorTribello, Gareth A.
dc.contributor.authorCiccotti, Giovanni
dc.contributor.authorTrout, Bernhardt L.
dc.date.accessioned2020-12-03T00:14:16Z
dc.date.available2020-12-03T00:14:16Z
dc.date.issued2017-12
dc.date.submitted2017-10
dc.identifier.issn1549-9618
dc.identifier.issn1549-9626
dc.identifier.urihttps://hdl.handle.net/1721.1/128717
dc.description.abstractSimulating nucleation of molecular crystals is extremely challenging for all but the simplest cases. The challenge lies in formulating effective order parameters that are capable of driving the transition process. In recent years, order parameters based on molecular pair-functions have been successfully used in combination with enhanced sampling techniques to simulate nucleation of simple molecular crystals. However, despite the success of these approaches, we demonstrate that they can fail when applied to more complex cases. In fact, we show that order parameters based on molecular pair-functions, while successful at nucleating benzene, fail for paracetamol. Hence, we introduce a novel approach to formulate order parameters. In our approach, we construct reduced dimensional distributions of relevant quantities on the fly and then quantify the difference between these distributions and selected reference distributions. By computing the distribution of different quantities and by choosing different reference distributions, it is possible to systematically construct an effective set of order parameters. We then show that our new order parameters are capable of driving the nucleation of ordered states and, in particular, the form I crystal of paracetamol. ©2017 American Chemical Society.en_US
dc.description.sponsorshipMIT-Novartis Center for Continuous Manufacturingen_US
dc.language.isoen
dc.publisherAmerican Chemical Society (ACS)en_US
dc.relation.isversionofhttps://dx.doi.org/10.1021/ACS.JCTC.7B01027en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceOther repositoryen_US
dc.titleNucleation of molecular crystals driven by relative information entropyen_US
dc.typeArticleen_US
dc.identifier.citationGobbo, Gianpaolo et al., "Nucleation of Molecular Crystals Driven by Relative Information Entropy." Journal of Chemical Theory and Computation 14, 2 (February 2018): 959–972 doi. 10.1021/acs.jctc.7b01027 ©2017 Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.relation.journalJournal of Chemical Theory and Computationen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-09-13T16:57:21Z
dspace.date.submission2019-09-13T16:57:26Z
mit.journal.volume14en_US
mit.journal.issue2en_US
mit.metadata.statusComplete


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