Multi-input convolutional network for ultrafast simulation of field evolvement

Summary: There is a compelling need for the regression capability of mapping the initial field and applied conditions to the evolved field, e.g., given current flow field and fluid properties predicting next-step flow field. Such a capability can provide a maximum to full substitute of a physics-bas...

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Detaylı Bibliyografya
Asıl Yazarlar:	Zhuo Wang, Wenhua Yang, Linyan Xiang, Xiao Wang, Yingjie Zhao, Yaohong Xiao, Pengwei Liu, Yucheng Liu, Mihaela Banu, Oleg Zikanov, Lei Chen
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Elsevier 2022-06-01
Seri Bilgileri:	Patterns
Konular:	DSML 3: Development/pre-production: Data science output has been rolled out/validated across multiple domains/problems
Online Erişim:	http://www.sciencedirect.com/science/article/pii/S2666389922000794
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Multi-input convolutional network for ultrafast simulation of field evolvement

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