Our featured article July, 2025
On shape classification in crystal growth simulations:
This study combines disentangling autoencoders with spherical harmonic descriptors to map continuous transformations between crystal morphologies while preserving crystallographic principles.
rdcu.be/eASRr
Disentangling autoencoders and spherical harmonics for efficient shape classification in crystal growth simulations
Communications Physics - Crystal growth simulations generate vast datasets that are difficult to analyse using traditional methods alone. By combining disentangling autoencoders with spherical...
