Engineers use graph networks to accurately predict properties of molecules and crystals
Date | 10th, Jun 2019 |
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Source | ScienceDaily - General News Websites |
DESCRIPTION
Nanoengineers have developed new deep learning models that can accurately predict the properties of molecules and crystals. The models can enable researchers to rapidly scan the nearly-infinite universe of compounds to discover potentially transformative materials for various applications, such as high-energy density Li-ion batteries, warm-white LEDs, and better photovoltaics.