| dc.contributor.author | Janet, Jon Paul | |
| dc.contributor.author | Zhao, Qing | |
| dc.contributor.author | Ioannidis, Efthymios Ioannis | |
| dc.contributor.author | Kulik, Heather Janine | |
| dc.date.accessioned | 2017-08-21T19:12:28Z | |
| dc.date.available | 2017-08-21T19:12:28Z | |
| dc.date.issued | 2016-11 | |
| dc.date.submitted | 2016-08 | |
| dc.identifier.issn | 0892-7022 | |
| dc.identifier.issn | 1029-0435 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/110993 | |
| dc.description.abstract | First-principles simulation has played an ever-increasing role in the discovery and interpretation of the chemical properties of surface–adsorbate interactions. Nevertheless, key challenges remain for the computational chemist wishing to study surface chemistry: modelling the full extent of experimental conditions, managing computational cost, minimising human effort in simulation set-up and maximising accuracy. This article introduces new tools for streamlining surface chemistry simulation set-up and reviews some of the challenges in first-principles, density functional theory (DFT) simulation of surface phenomena. Furthermore, we provide a worked example of Co tetraphenylporphyrin on Au(1 1 1) in which we analyse electronic and energetic properties with semi-local DFT and compare to predictions made from hybrid functional and the so-called DFT+U correction. Through both review and the worked example, we aim to provide a pedagogical introduction to the challenges and the insight that first-principles simulation can provide in surface chemistry. | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (ECCS-1449291) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Taylor & Francis | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1080/08927022.2016.1258465 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Prof. Kulik | en_US |
| dc.title | Density functional theory for modelling large molecular adsorbate–surface interactions: a mini-review and worked example | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Janet, Jon Paul et al.“Density Functional Theory for Modelling Large Molecular Adsorbate–surface Interactions: a Mini-Review and Worked Example.” Molecular Simulation 43, 5–6 (November 2016): 327–345 © 2016 Informa uK limited, trading as Taylor & Francis Group | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Chemical Engineering | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
| dc.contributor.approver | Kulik, Heather J | en_US |
| dc.contributor.mitauthor | Janet, Jon Paul | |
| dc.contributor.mitauthor | Zhao, Qing | |
| dc.contributor.mitauthor | Ioannidis, Efthymios Ioannis | |
| dc.contributor.mitauthor | Kulik, Heather Janine | |
| dc.relation.journal | Molecular Simulation | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Janet, Jon Paul; Zhao, Qing; Ioannidis, Efthymios I.; Kulik, Heather J. | en_US |
| dspace.embargo.terms | N | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0001-7825-4797 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-5535-0513 | |
| dc.identifier.orcid | https://orcid.org/0000-0001-9342-0191 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |