End-to-end differentiability and tensor processing unit computing to accelerate materials’ inverse design
Abstract Numerical simulations have revolutionized material design. However, although simulations excel at mapping an input material to its output property, their direct application to inverse design has traditionally been limited by their high computing cost and lack of differentiability. Here, tak...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-023-01080-x |