Interpretable and unsupervised phase classification
Fully automated classification methods that provide direct physical insights into phase diagrams are of current interest. Interpretable, i.e., fully explainable, methods are desired for which we understand why they yield a given phase classification. Ideally, phase classification methods should also...
Main Authors: | Julian Arnold, Frank Schäfer, Martin Žonda, Axel U. J. Lode |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2021-07-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.3.033052 |
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