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arXiv · 2110.10748

A melting temperature database and a neural network model for melting temperature prediction

Qi-Jun Hong
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Abstract

I build a melting temperature database that contains approximately 10,000 materials. Based on the database, I build a machine learning model that predicts melting temperature in seconds. The model features graph neural network and residual neural network architecture. The root-mean-square errors of melting temperature are 90 and 160K for training and testing, respectively. The model is deployed online and is publicly available.

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Qi-Jun Hong. 2021-10-30. A melting temperature database and a neural network model for melting temperature prediction. https://arxiv.org/abs/2110.10748

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