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