[R] Nature Paper: Atomistic ML Models Demonstrate Amorphous Silicon States & Transitions

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In the paper Origins of Structural and Electronic Transitions in Disordered Silicon, published this week in the prestigious scientific journal Nature, researchers from University of Oxford, US Naval Research Laboratory, University of Cambridge, École Polytechnique Fédérale de Lausanne in Switzerland and Ohio University demonstrate how atomistic machine learning (ML) models trained on accurate quantum mechanical computations can help describe liquid–amorphous and amorphous–amorphous transitions for a system of 100,000 atoms — predicting structure, stability and electronic properties.

Here is a quick read: Nature Paper: Atomistic ML Models Demonstrate Amorphous Silicon States & Transitions

The paper Origins of Structural and Electronic Transitions in Disordered Silicon is on the Nature website.

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