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Quantum and Classical Machine Learning Studies of Optimal III-Nitride Epitaxy (2024)

First Author: Messecar A

Attributed to: The University of St Andrews - Equipment Account funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://meetings.aps.org/Meeting/MAR24/Session/J00.298

Type: Journal Article/Review

Volume: APS March Meeting 2024

Parent Publication: Bulletin of the American Physical Society