High-throughput computational workflow for the screening of candidate high pressure hydride superconductors, coupling density functional theory (DFT) simulations with machine learning. (IMAGE)

Songshan Lake Materials Laboratory

High-throughput computational workflow for the screening of candidate high pressure hydride superconductors, coupling density functional theory (DFT) simulations with machine learning.

Caption

High-throughput computational workflow for the screening of candidate high pressure hydride superconductors, coupling density functional theory (DFT) simulations with machine learning.

Credit

Daniel Wines and Kamal Choudhary

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Credit must be given to the creator.

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CC BY

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