Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorMcDonagh, James L.
dc.contributor.authorPalmer, David S.
dc.contributor.authorvan Mourik, Tanja
dc.contributor.authorMitchell, John B. O.
dc.date.accessioned2017-10-17T23:33:14Z
dc.date.available2017-10-17T23:33:14Z
dc.date.issued2016-11-28
dc.identifier.citationMcDonagh , J L , Palmer , D S , van Mourik , T & Mitchell , J B O 2016 , ' Are the sublimation thermodynamics of organic molecules predictable? ' , Journal of Chemical Information and Modeling , vol. 56 , no. 11 , pp. 2162-2179 . https://doi.org/10.1021/acs.jcim.6b00033en
dc.identifier.issn1549-9596
dc.identifier.otherPURE: 247062978
dc.identifier.otherPURE UUID: 1a5fddf5-85ec-49cc-9885-abce2e97816a
dc.identifier.otherScopus: 84999273744
dc.identifier.otherORCID: /0000-0002-0379-6097/work/34033377
dc.identifier.otherORCID: /0000-0001-7683-3293/work/57088490
dc.identifier.otherWOS: 000389116200005
dc.identifier.urihttp://hdl.handle.net/10023/11874
dc.descriptionJMcD and JBOM would like to thank SULSA for funding. DSP thanks the University of Strathclyde for support through its Strategic Appointment and Investment Scheme.en
dc.description.abstractWe compare a range of computational methods for the prediction of sublimation thermodynamics (enthalpy, entropy and free energy of sublimation). These include a model from theoretical chemistry that utilizes crystal lattice energy minimization (with the DMACRYS program) and QSPR models generated by both machine learning (Random Forest and Support Vector Machines) and regression (Partial Least Squares) methods. Using these methods we investigate the predictability of the enthalpy, entropy and free energy of sublimation, with consideration of whether such a method may be able to improve solubility prediction schemes. Previous work has suggested that the major source of error in solubility prediction schemes involving a thermodynamic cycle via the solid state is in the modeling of the free energy change away from the solid state. Yet contrary to this conclusion other work has found that the inclusion of terms such as the enthalpy of sublimation in QSPR methods does not improve the predictions of solubility. We suggest the use of theoretical chemistry terms, detailed explicitly in the methods section, as descriptors for the prediction of the enthalpy and free energy of sublimation. A dataset of 158 molecules with experimental sublimation thermodynamics values and some CSD refcodes has been collected from the literature and is provided with their original source references.
dc.language.isoeng
dc.relation.ispartofJournal of Chemical Information and Modelingen
dc.rightsCopyright © 2016 American Chemical Society. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at: https://doi.org/10.1021/acs.jcim.6b00033en
dc.subjectQD Chemistryen
dc.subjectDASen
dc.subject.lccQDen
dc.titleAre the sublimation thermodynamics of organic molecules predictable?en
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Chemistryen
dc.contributor.institutionUniversity of St Andrews.EaSTCHEMen
dc.contributor.institutionUniversity of St Andrews.Biomedical Sciences Research Complexen
dc.identifier.doihttps://doi.org/10.1021/acs.jcim.6b00033
dc.description.statusPeer revieweden
dc.date.embargoedUntil2017-10-17


This item appears in the following Collection(s)

Show simple item record