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Machine-learning accelerated identification of exfoliable two-dimensional materials
It is thus crucial to be able to identify accurately and efficiently if bulk three-dimensional (3D) materials are formed by layers held together by a weak binding energy that, thus, can be potentially exfoliated into 2D materials.
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