Machine learning reveals the complexity of dense amorphous silicon
- 6 January 2021
- journal article
- editorial
- Published by Springer Science and Business Media LLC in Nature
- Vol. 589 (7840), 22-23
- https://doi.org/10.1038/d41586-020-03574-w
Abstract
No abstract availableThis publication has 8 references indexed in Scilit:
- Origins of structural and electronic transitions in disordered siliconNature, 2021
- Pressure-induced amorphization and polyamorphism: Inorganic and biochemical systemsProgress in Materials Science, 2014
- High-pressure structures and phase transformations in elemental metalsChemical Society Reviews, 2006
- A density-driven phase transition between semiconducting and metallic polyamorphs of siliconNature Materials, 2005
- Polyamorphic transformations in liquids and glassesJournal of Materials Chemistry, 2004
- Liquid–liquid phase transition in supercooled siliconNature Materials, 2003
- Ab initiosimulation of first-order amorphous-to-amorphous phase transition of siliconPhysical Review B, 2001
- Pressure—induced amorphous phasesMaterials Science Reports, 1992