Hierarchical visualization of materials space with graph convolutional neural networks

Hierarchical visualization of materials space with graph convolutional neural networks

The combination of high throughput computation and machine learning has led to a new paradigm in materials design by allowing for the direct screening of vast portions of structural, chemical, and property spaces. The use of these powerful techniques leads to the generation of enormous amounts of da...

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Bibliographic Details
Main Authors:	Xie, Tian, Grossman, Jeffrey C.
Other Authors:	Massachusetts Institute of Technology. Department of Materials Science and Engineering
Format:	Article
Language:	English
Published:	AIP Publishing 2020
Online Access:	https://hdl.handle.net/1721.1/128848

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