Predicting Phase Stability at Interfaces
dc.contributor.author | Pitfield, J | |
dc.contributor.author | Taylor, NT | |
dc.contributor.author | Hepplestone, SP | |
dc.date.accessioned | 2024-02-08T13:11:36Z | |
dc.date.issued | 2024-02-07 | |
dc.date.updated | 2024-02-08T12:15:46Z | |
dc.description.abstract | We present the RAFFLE methodology for structural prediction of the interface between two materials and demonstrate its effectiveness by applying it to MgO encapsulated by two layers of graphene. To address the challenge of interface structure prediction, our methodology combines physical insights derived from morphological features observed in related systems with an iterative machine learning technique. This employs physical-based methods, including void-filling and n-body distribution functions to predict interface structures. For the carbon-MgO encapsulated system, we have shown the rocksalt and hexagonal phases of MgO to be the two most energetically stable in the few-layer regime. We demonstrate that monolayer rocksalt is heavily stabilized by interfacing with graphene, becoming more energetically favorable than the graphenelike monolayer hexagonal MgO. The RAFFLE methodology provides valuable insights into interface behavior, and a route to finding new materials at interfaces. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Leverhulme Trust | en_GB |
dc.identifier.citation | Vol. 132(6), article 066201 | en_GB |
dc.identifier.doi | https://doi.org/10.1103/physrevlett.132.066201 | |
dc.identifier.grantnumber | EP/L015331/1 | en_GB |
dc.identifier.grantnumber | RPG-2021-086 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/135274 | |
dc.identifier | ORCID: 0000-0002-9134-9712 (Taylor, NT) | |
dc.identifier | ORCID: 0000-0002-2528-1270 (Hepplestone, SP) | |
dc.language.iso | en | en_GB |
dc.publisher | American Physical Society (APS) | en_GB |
dc.relation.url | https://doi.org/10.24378/exe.4966 | en_GB |
dc.rights | © 2024. Open access. Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. | en_GB |
dc.title | Predicting Phase Stability at Interfaces | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-02-08T13:11:36Z | |
dc.identifier.issn | 0031-9007 | |
exeter.article-number | 066201 | |
dc.description | This is the final version. Available on open access from the American Physical Society via the DOI in this record | en_GB |
dc.description | Data availability: The data that supports this Letter is openly available in ORE at https://doi.org/10.24378/exe.4966 | en_GB |
dc.identifier.eissn | 1079-7114 | |
dc.identifier.journal | Physical Review Letters | en_GB |
dc.relation.ispartof | Physical Review Letters, 132(6) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-12-22 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2024-02-07 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-02-08T13:02:46Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2024-02-08T13:11:40Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2024-02-07 |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © 2024. Open access. Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.