Predicting structure zone diagrams for thin film synthesis by generative machine learning

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.

Bibliographic Details
Main Authors: Lars Banko, Yury Lysogorskiy, Dario Grochla, Dennis Naujoks, Ralf Drautz, Alfred Ludwig
Format: Article
Language:English
Published: Nature Publishing Group 2020-03-01
Series:Communications Materials
Online Access:https://doi.org/10.1038/s43246-020-0017-2

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