Quench-rate and size-dependent behaviour in glassy Ge2Sb2Te5 models simulated with a machine-learned Gaussian approximation potential (2020)

First Author: Mocanu F
Attributed to:  Peta-5: A National Facility for Petascale Data Intensive Computation and Analytics funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.17863/cam.49388

Publication URI: https://www.repository.cam.ac.uk/handle/1810/302315

Type: Journal Article/Review