首页|期刊导航|国家科学评论(英文版)|Machine-learning-based architecting of magnetoresistance phase diagrams in anomalous Hall systems

Machine-learning-based architecting of magnetoresistance phase diagrams in anomalous Hall systemsOA

Machine-learning-based architecting of magnetoresistance phase diagrams in anomalous Hall systems

Ganyu Chen;Toshiya Ideue;Qi-Kun Xue;Hongtao Yuan;Xiangyu Bi;Zeya Li;Xiao Feng;Yang Feng;Feng Qin;Junwei Huang;Ling Zhou;Ke He

National Laboratory of Solid State Microstructures,College of Engineering and Applied Sciences,Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,ChinaQuantum Phase Electronic Center and Department of Applied Physics,The University of Tokyo,Tokyo 113-8654,JapanQuantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area,Shenzhen 518045,China||State Key Laboratory of Low Dimensional Quantum Physics and Department of Physics,Tsinghua University,Beijing 100084,China||Department of Physics and Guangdong Basic Research Center of Excellence for Quantum Science,Southern University of Science and Technology,Shenzhen 518055,ChinaNational Laboratory of Solid State Microstructures,College of Engineering and Applied Sciences,Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,China||Jiangsu Physical Science Research Center,Nanjing 210093,ChinaNational Laboratory of Solid State Microstructures,College of Engineering and Applied Sciences,Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,ChinaQuantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area,Shenzhen 518045,ChinaState Key Laboratory of Low Dimensional Quantum Physics and Department of Physics,Tsinghua University,Beijing 100084,ChinaBeijing Academy of Quantum Information Sciences,Beijing 100193,ChinaNational Laboratory of Solid State Microstructures,College of Engineering and Applied Sciences,Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,ChinaNational Laboratory of Solid State Microstructures,College of Engineering and Applied Sciences,Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,ChinaQuantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area,Shenzhen 518045,ChinaState Key Laboratory of Low Dimensional Quantum Physics and Department of Physics,Tsinghua University,Beijing 100084,China

anomalous Hall effectmagnetoresistancemachine learningferromagnetismtwo-band model

anomalous Hall effectmagnetoresistancemachine learningferromagnetismtwo-band model

《国家科学评论(英文版)》 2026 (13)

17-30,14

This work was supported by the National Key Research and Development Program of China(2024YFA1408104,2021YFA1202901 and 2024YFA1409100),the National Nat-ural Science Foundation of China(92365203,U24A6002,52302180 and 12504224),the Quantum Science and Technology-National Science and Technology Major Project(2021ZD0302502),the Natural Science Foundation of Jiangsu Province(BK20253012,BK20233001 and BK20243011),the Guangdong Provincial Quantum Science Strategic Ini-tiative(GDZX2501002),the Shenzhen Municipal Funding Co-Construction Program Project(SZZX2501001)and the Guangdong Basic and Applied Basic Research Foundation(2026A1515011759).

10.1093/nsr/nwag228

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