INVESTIGATION OF APPLYING PHYSICS INFORMED NEURAL NETWORKS (PINN) AND VARIANTS ON 2D AERODYNAMICS PROBLEMS

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/184423

DC Field	Value
dc.title	INVESTIGATION OF APPLYING PHYSICS INFORMED NEURAL NETWORKS (PINN) AND VARIANTS ON 2D AERODYNAMICS PROBLEMS
dc.contributor.author	TAY WEE BENG
dc.contributor.author	MURALI DAMODARAN
dc.contributor.author	Teh, Zhi Da
dc.contributor.author	RAHUL HALDER
dc.date.accessioned	2020-12-02T06:31:54Z
dc.date.available	2020-12-02T06:31:54Z
dc.date.issued	2020-07-13
dc.identifier.citation	TAY WEE BENG, MURALI DAMODARAN, Teh, Zhi Da, RAHUL HALDER (2020-07-13). INVESTIGATION OF APPLYING PHYSICS INFORMED NEURAL NETWORKS (PINN) AND VARIANTS ON 2D AERODYNAMICS PROBLEMS. ASME 2020 Fluids Engineering Division Summer Meeting : 1-7. ScholarBank@NUS Repository.
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/184423
dc.source	Elements
dc.type	Conference Paper
dc.date.updated	2020-08-18T04:03:40Z
dc.contributor.department	TEMASEK LABORATORIES
dc.description.sourcetitle	ASME 2020 Fluids Engineering Division Summer Meeting
dc.description.page	1-7
dc.description.place	United States
dc.published.state	Published
Appears in Collections:	Elements Staff Publications

File	Description	Size	Format	Access Settings	Version
Investigation of applying Physics Informed Neural Networks (PINN) and variants on 2D aerodynamics problems revised.pdf	Accepted version	903.77 kB	Adobe PDF	CLOSED	None

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