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This content will become publicly available on July 3, 2024

Title: Structure prediction and materials design with generative neural networks
The prediction of stable crystal structures is an important part of designing solid-state crystalline materials with desired properties. Recent advances in structural feature representations and generative neural networks promise the ability to efficiently create new stable structures to use for inverse design and to search for materials with tailored functionalities.  more » « less
Award ID(s):
2142801 2148653
NSF-PAR ID:
10429109
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Nature Computational Science
ISSN:
2662-8457
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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