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Solving the discretised multiphase flow equations with interface capturing on structured grids using machine learning libraries

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dc.contributor.authorChen, Boyang
dc.contributor.authorHeaney, Claire E.
dc.contributor.authorGomes, Jefferson L.M.A.
dc.contributor.authorMatar, Omar K.
dc.contributor.authorPain, Christopher C.
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.National Decommissioning Centreen
dc.date.accessioned2024-04-18T08:02:01Z
dc.date.available2024-04-18T08:02:01Z
dc.date.issued2024-06-01
dc.descriptionThe authors would like to acknowledge the following EPSRC grants: the PREMIERE programme grant, “AI to enhance manufacturing, energy, and healthcare” (EP/T000414/1); ECO-AI, “Enabling CO capture and storage using AI” (EP/Y005732/1); MUFFINS, “MUltiphase Flow-induced Fluid-flexible structure InteractioN in Subsea” (EP/P033180/1); WavE-Suite, “New Generation Modelling Suite for the Survivability of Wave Energy Convertors in Marine Environments” (EP/V040235/1); INHALE, “Health assessment across biological length scales” (EP/T003189/1); AI-Respire, “AI for personalised respiratory health and pollution” (EP/Y018680/1); RELIANT, “Risk EvaLuatIon fAst iNtelligent Tool for COVID19” (EP/V036777/1); and CO-TRACE, “COvid-19 Transmission Risk Assessment Case Studies — education Establishments” (EP/W001411/1). Also, the authors acknowledge the Innovate UK grant D-XPERT, “AI-Powered Total Building Management System“ (TS/Y020324/1). Support from Imperial-X’s Eric and Wendy Schmidt Centre for AI in Science (a Schmidt Futures program) is gratefully acknowledged. The authors state that, for the purpose of open access, a Creative Commons Attribution (CC BY) license will be applied to any Author Accepted Manuscript version relating to this article.en
dc.description.statusPeer revieweden
dc.format.extent27
dc.format.extent5046131
dc.identifier288950317
dc.identifier294881d9-3c27-4b46-866b-55f9d66bc4d0
dc.identifier85190599359
dc.identifier.citationChen, B, Heaney, C E, Gomes, J L M A, Matar, O K & Pain, C C 2024, 'Solving the discretised multiphase flow equations with interface capturing on structured grids using machine learning libraries', Computer Methods in Applied Mechanics and Engineering, vol. 426, 116974. https://doi.org/10.1016/j.cma.2024.116974, https://doi.org/10.1016/j.cma.2024.116974en
dc.identifier.doi10.1016/j.cma.2024.116974
dc.identifier.issn0045-7825
dc.identifier.otherRIS: urn:8ACE748F9D86AF32595E652EB73D0B3D
dc.identifier.otherORCID: /0000-0003-0845-2274/work/158672101
dc.identifier.urihttps://hdl.handle.net/2164/23289
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85190599359&partnerID=8YFLogxKen
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0045782524002305en
dc.identifier.vol426en
dc.language.isoeng
dc.relation.ispartofComputer Methods in Applied Mechanics and Engineeringen
dc.subjectArtificial Intelligenceen
dc.subjectPartial differential equationsen
dc.subjectConvolutional neural networksen
dc.subjectU-Neten
dc.subjectGraphics Processing Unitsen
dc.subjectFinite Element Methoden
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectMechanics of Materialsen
dc.subjectMechanical Engineeringen
dc.subjectGeneral Physics and Astronomyen
dc.subjectComputer Science Applicationsen
dc.subjectComputational Mechanicsen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/T000414/1en
dc.subjectEP/Y005732/1)en
dc.subjectEP/P033180/1en
dc.subjectEP/V040235/1en
dc.subjectEP/Y018680/1en
dc.subjectEP/V036777/1en
dc.subjectEP/W001411/1)en
dc.subjectInnovate UKen
dc.subjectTS/Y020324/1en
dc.subject.lccQA75en
dc.subject.lccTAen
dc.titleSolving the discretised multiphase flow equations with interface capturing on structured grids using machine learning librariesen
dc.typeJournal articleen

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