Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations

Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations

The data-driven discovery of partial differential equations (PDEs) consistent with spatiotemporal data is experiencing a rebirth in machine learning research. Training deep neural networks to learn such data-driven partial differential operators requires extensive spatiotemporal data. For learning c...

书目详细资料
主要作者:	Arbabi, Hassan
其他作者:	Massachusetts Institute of Technology. Department of Mechanical Engineering
格式:	文件
语言:	English
出版:	Springer US 2021
在线阅读:	https://hdl.handle.net/1721.1/129683

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