Artificial Neural Networks Used to Predict New Stable Materials

NanoEngineering professor, Dr. Shyue Ping Ong, and his team at the Materials Virtual Lab, are training artificial neural networks so they can predict new stable materials. This development helps in solving a central problem in materials science, chemistry, and physics.  The team's work is detailed in a a paper published in Nature Communications. 

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