Machine learning predicts properties even with limited data, discovering materials with desired properties such as semiconductors

https://www.eurekalert.org/news-releases/1069246

"predicting properties such as electronic band gaps, formation energies, mechanical properties, needs training data which is limited because testing expensive time consuming... transfer learning predicts values: large model pre-trained on large dataset, then fine-tuned adapting to smaller target dataset, first learning simple task... performs much better than models trained from scratch... Multi-property Pre-Training on 7 different bulk 3D material properties... predict: band gap values, semiconductors forming point defects"

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