Disentangling autoencoders and spherical harmonics for efficient shape classification in crystal growth simulations
Abstract Controlling crystal growth is a challenge across numerous industries, as the functional properties of crystalline materials are determined during formation and often depend on particle shape. Current approaches rely on expensive, time-consuming experimental studies complemented by exhaustiv...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-025-02129-7 |
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