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HPC Powers Evolution of Defects for Superconductors

Researchers are using supercomputers to introduce and assess the impact of different configurations of defects on the performance of a superconductor. “When people think of targeted evolution, they might think of people who breed dogs or horses,” said Argonne materials scientist Andreas Glatz, the corresponding author of the study. ​“Ours is an example of materials by design, where the computer learns from prior generations the best possible arrangement of defects.”