Predicting Property of Materials From Multi-fidelity Data

Nano-engineers in Professor Shyue Ping Ong's Research Group have published a paper showing they can accurately predict property of materials by taking advantage of low quality data. This method results in more general and accurate models of properties and facilitates the screening of promising material candidates. 

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