Machine learning for discrimination of phase‐change chalcogenide glasses

Machine learning for discrimination of phase‐change chalcogenide glasses

Abstract Chalcogenides, despite their versatile functionality, share a notably similar local structure in their amorphous states. Particularly in electronic phase‐change memory applications, distinguishing these glasses from neighboring compositions that do not possess memory capabilities is inheren...

Full description

Saved in:
Bibliographic Details
Main Authors: Qundao Xu, Meng Xu, Siqi Tang, Shaojie Yuan, Ming Xu, Wei Zhang, Xian‐Bin Li, Zhongrui Wang, Xiangshui Miao, Chengliang Wang, Matthias Wuttig
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:InfoMat
Subjects:
amorphous materials descriptors
chalcogenide glass
first‐principles methods
machine learning
phase‐change memory
Online Access:https://doi.org/10.1002/inf2.70006
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/inf2.70006

Similar Items