학술논문
Predicting structure zone diagrams for thin film synthesis by generative machine learning
Document Type
article
Source
Communications Materials, Vol 1, Iss 1, Pp 1-10 (2020)
Subject
Language
English
ISSN
2662-4443
Abstract
Controlling the microstructure of thin films is vital for tuning their properties. Here, machine learning is applied to obtain synthesis-composition-microstructure relationships in the form of structure zone diagrams for thin films, enabling microstructure prediction.