Machine-learning accelerated identification of exfoliable two-dimensional materials

Two-dimensional (2D) materials have been a central focus of recent research because they host a variety of properties, making them attractive both for fundamental science and for applications. It is thus crucial to be able to identify accurately and efficiently if bulk three-dimensional (3D) materia...

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Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Mohammad Tohidi Vahdat, Kumar Varoon Agrawal, Giovanni Pizzi
Format:	Article
Language:	English
Published:	IOP Publishing 2022-01-01
Subjects:	two-dimensional materials exfoliation crystal structure binding energy online tool
Online Access:	https://doi.org/10.1088/2632-2153/ac9bca