HIGHLIGHTS
- who: Dipendra Jha from the DepartmentNorthwestern University have published the Article: Moving closer to experimental level materials property prediction using AI, in the Journal: Scientific Reports Scientific Reports
- what: The authors have demonstrated how one can predict (compute) a materials property more accurately using AI than DFT by leveraging together existing collections of experimentally measure values and DFT-computations using a deep neural_network.
SUMMARY
IRNet is a general purpose deep neural_network that enables learning of materials properties in the presence of big materials datasets for accelerating materials discovery. There are only . . .
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