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【Research Highlights】NYCU researchers develop an efficient shallow neural network to solve surface PDEs and PDEs with singularities

dc.citation.issue2022-08en_US
dc.contributor.author國際事務處zh_TW
dc.contributor.authorOffice of International Affairsen_US
dc.date.accessioned2022-08-22T00:06:50Z
dc.date.available2022-08-22T00:06:50Z
dc.date.issued2022-08-01en_US
dc.description.abstractResearchers in the Mathematical and Scientific Machine Learning Laboratory (MSML) leading by Prof. Ming-Chih Lai at Department of Applied Mathematics in NYCU investigate computational fluid mechanics and explore potential machine learning approaches in solving fluid- structure interaction problems.en_US
dc.identifier.journal陽明交大英文電子報zh_TW
dc.identifier.journalNYCU E-NEWSen_US
dc.identifier.urihttps://en.nycu.edu.tw/an-efficient-shallow-neural-network-to-solve-surface-pdes-and-pdes-with-singularities/en_US
dc.identifier.urihttps://drive.google.com/file/d/115gV65drEonnrCgUZKAX3W2FAjNBMtuN/viewen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/157366
dc.language.isoen_USen_US
dc.publisher國立陽明交通大學zh_TW
dc.publisherNational Yang Ming Chiao Tung Universityen_US
dc.title【Research Highlights】NYCU researchers develop an efficient shallow neural network to solve surface PDEs and PDEs with singularitiesen_US
dc.typeHistorical Newsen_US

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