Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models
dc.contributor.author | Freitas, RSM | en_US |
dc.contributor.author | Lima, APF | en_US |
dc.contributor.author | Chen, C | en_US |
dc.contributor.author | Rochinha, FA | en_US |
dc.contributor.author | Mira, D | en_US |
dc.contributor.author | Jiang, X | en_US |
dc.date.accessioned | 2022-08-25T09:43:24Z | |
dc.date.available | 2022-07-24 | en_US |
dc.date.issued | 2022 | en_US |
dc.identifier.issn | 0016-2361 | en_US |
dc.identifier.other | 125415 | |
dc.identifier.other | 125415 | |
dc.identifier.other | 125415 | |
dc.identifier.other | 125415 | en_US |
dc.identifier.other | ARTN 125415 | en_US |
dc.identifier.other | ARTN 125415 | en_US |
dc.identifier.other | ARTN 125415 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/80150 | |
dc.relation.ispartof | FUEL | en_US |
dc.rights | This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | * |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | Fuel properties | en_US |
dc.subject | Molecular dynamics | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Machine learning models | en_US |
dc.title | Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models | en_US |
dc.type | Article | |
dc.rights.holder | © 2022, The Author(s). Published by Elsevier | |
dc.identifier.doi | 10.1016/j.fuel.2022.125415 | en_US |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000861027900004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 329 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
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Except where otherwise noted, this item's license is described as This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.