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Inverse Design support materials-revised.pdf (1.64 MB)

Supplementary Information for Inverse design machine learning model for metallic glasses with good glass-forming ability and properties

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posted on 2024-01-10, 12:55 authored by K. Y. Li, M. Z. Li, W. H. Wang
Supplementary material is provided, including additional details of the VAE-only model and the VAE with property prediction model, the results of the distribution of the critical diameter Dc in the dataset, similarity proportion between the generated sample and the original sample, and the performance analysis for the classification models and the VAE with property prediction model. The supplementary material also includes tables such as the 20 basic elemental properties, the compositions sampled near Fe80.6B16.5Si2.0Nb0.9 and the generated MGs by VAE with property prediction model.

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