Data-driven discovery of Green’s functions with human-understandable deep learning

There is an opportunity for deep learning to revolutionize science and technology by revealing its findings in a human interpretable manner. To do this, we develop a novel data-driven approach for creating a human–machine partnership to accelerate scientific discovery. By collecting physical system...

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Bibliographic Details
Main Authors: Boullé, N. (Author), Earls, C.J (Author), Townsend, A. (Author)
Format: Article
Language:English
Published: Nature Research 2022
Subjects:
Online Access:View Fulltext in Publisher