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

Chen, BoyangHeaney, Claire E.Gomes, Jefferson L.M.A.Matar, Omar K.Pain, Christopher C.2024-04-182024-04-182024-06-01Chen, 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.2024.1169740045-7825RIS: urn:8ACE748F9D86AF32595E652EB73D0B3DORCID: /0000-0003-0845-2274/work/158672101https://hdl.handle.net/2164/23289The 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.275046131engArtificial IntelligencePartial differential equationsConvolutional neural networksU-NetGraphics Processing UnitsFinite Element MethodQA75 Electronic computers. Computer scienceTA Engineering (General). Civil engineering (General)Mechanics of MaterialsMechanical EngineeringGeneral Physics and AstronomyComputer Science ApplicationsComputational MechanicsEngineering and Physical Sciences Research Council (EPSRC)EP/T000414/1EP/Y005732/1)EP/P033180/1EP/V040235/1EP/Y018680/1EP/V036777/1EP/W001411/1)Innovate UKTS/Y020324/1QA75TASolving the discretised multiphase flow equations with interface capturing on structured grids using machine learning librariesJournal article10.1016/j.cma.2024.116974http://www.scopus.com/inward/record.url?scp=85190599359&partnerID=8YFLogxKhttps://www.sciencedirect.com/science/article/pii/S0045782524002305426