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This content will become publicly available on March 1, 2026

Title: Inverse design of short-range order arrangement via neural network
We predict the critical resolved shear stress (CRSS) for slip for all the studied configurations encompassing random and SRO structures and discuss the effect of SRO on the flow stress. The proposed ML (machine learning) methodology provides atomic ar- rangements from target order parameters with high accuracy, thereby eliminating the need for expensive sim- ulations, and it advances the understanding of SRO at the atomistic scale.  more » « less
Award ID(s):
2125821
PAR ID:
10652809
Author(s) / Creator(s):
; ; ; ; ; ;
Publisher / Repository:
Elsevier
Date Published:
Journal Name:
International Journal of Solids and Structures
Volume:
309
Issue:
C
ISSN:
0020-7683
Page Range / eLocation ID:
113175
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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