Capturing 2D van der Waals magnets with high probability for experimental demonstration from materials science literature

Capturing 2D van der Waals magnets with high probability for experimental demonstration from materials science literature

Abstract 2D van der Waals (vdW) magnets have opened intriguing prospects for next‐generation spintronic nanodevices. Machine learning techniques and density functional theory calculations enable the discovery of 2D vdW magnets to be accelerated; however, current computational frameworks based on the...

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Bibliographic Details
Main Authors: Haiyang Song, Yinghe Zhao, Eleanor Turner, Yu Wu, Yuan Li, Menghao Wu, Guang Feng, Huiqiao Li, Tianyou Zhai
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:InfoMat
Subjects:
2D vdW magnets
mutual information
neural networks
Online Access:https://doi.org/10.1002/inf2.12397

Internet

https://doi.org/10.1002/inf2.12397

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