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Minyi Dai
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Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials
M Dai, MF Demirel, Y Liang, JM Hu
npj Computational Materials 7 (1), 103, 2021
512021
A Strain‐Mediated Magnetoelectric‐Spin‐Torque Hybrid Structure
T Nan, JM Hu, M Dai, S Emori, X Wang, Z Hu, A Matyushov, LQ Chen, ...
Advanced Functional Materials 29 (6), 1806371, 2019
342019
Field-free spin–orbit torque perpendicular magnetization switching in ultrathin nanostructures
M Dai, JM Hu
NPJ Computational Materials 6 (1), 78, 2020
282020
Graph neural network for predicting the effective properties of polycrystalline materials: A comprehensive analysis
M Dai, MF Demirel, X Liu, Y Liang, JM Hu
Computational Materials Science 230, 112461, 2023
62023
Resonant nanodiffraction x-ray imaging reveals role of magnetic domains in complex oxide spin caloritronics
PG Evans, SD Marks, S Geprägs, M Dietlein, Y Joly, M Dai, J Hu, ...
Science Advances 6 (40), eaba9351, 2020
52020
Spin-orbit torque magnetoresistive random access memory with magnetic field-free current-induced perpendicular magnetization reversal
J Hu, M Dai
US Patent 11,069,390, 2021
42021
A puzzling insensitivity of magnon spin diffusion to the presence of 180-degree domain walls
R Li, LJ Riddiford, Y Chai, M Dai, H Zhong, B Li, P Li, D Yi, Y Zhang, ...
Nature Communications 14 (1), 2393, 2023
32023
Bicontinuous oxide heteroepitaxy with enhanced photoconductivity
PW Shao, YX Wu, WH Chen, M Zhang, M Dai, YC Kuo, SH Hsieh, ...
Nature communications 14 (1), 21, 2023
32023
Field-free spin-orbit switching of perpendicular magnetization enabled by dislocation-induced in-plane symmetry breaking
Y Liang, D Yi, T Nan, S Liu, L Zhao, Y Zhang, H Chen, T Xu, M Dai, JM Hu, ...
Nature Communications 14 (1), 5458, 2023
22023
Significant Unconventional Anomalous Hall Effect in Heavy Metal/Antiferromagnetic Insulator Heterostructures
Y Liang, L Wu, M Dai, Y Zhang, Q Zhang, J Wang, N Zhang, W Xu, L Zhao, ...
Advanced Science 10 (8), 2206203, 2023
12023
Author Correction: Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials
M Dai, MF Demirel, Y Liang, JM Hu
NPJ Computational Materials 8 (1), 2022
2022
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