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all the code and data to build the ANN model to predict the GFA of ternary alloys

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Balancing Data for Generalizable Machine Learning to Predict Glass-Forming Ability of Ternary Alloys

This repository contains all the data and scripts to reproduce the results from "Balancing Data for Generalizable Machine Learning to Predict Glass-Forming Ability of Ternary Alloys", a manuscript authored by Yi Yao, Timothy Sullivan IV, Feng Yan, Jiaqi Gong and Lin Li. This repository has 4 continous parts. Implementing these different parts in sequence to reproduce the results.

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all the code and data to build the ANN model to predict the GFA of ternary alloys

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