Electric-Field-Controlled Altermagnetic Transition for Neuromorphic Computing
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , |
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| Natura: | Preprint |
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2025
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| _version_ | 1866912788891303936 |
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| author | Duan, Zhiyuan Qin, Peixin Zhong, Chengyan Zhang, Shaoxuan Liu, Li Zhao, Guojian Wang, Xiaoning Chen, Hongyu Meng, Ziang Li, Jingyu Jiang, Sixu Tan, Xiaoyang Wu, Qiong Liu, Yu Liu, Zhiqi |
| author_facet | Duan, Zhiyuan Qin, Peixin Zhong, Chengyan Zhang, Shaoxuan Liu, Li Zhao, Guojian Wang, Xiaoning Chen, Hongyu Meng, Ziang Li, Jingyu Jiang, Sixu Tan, Xiaoyang Wu, Qiong Liu, Yu Liu, Zhiqi |
| contents | Altermagnets represent a novel magnetic phase with transformative potential for ultrafast spintronics, yet efficient control of their magnetic states remains challenging. We demonstrate an ultra-low-power electric-field control of altermagnetism in MnTe through strain-mediated coupling in MnTe/PMN-PT heterostructures with negligible Joule heating. Application of +6 kV/cm electric fields induces piezoelectric strain in PMN-PT, modulating the Néel temperature from 310 to 328 K. As a result, around the magnetic phase transition, the altermagnetic spin splitting of MnTe is reversibly switched "on" and "off" by the electric fields. Meanwhile, the piezoelectric strain generates lattice distortions and magnetic structure changes in MnTe, enabling up to 9.7% resistance modulation around the magnetic phase transition temperature. Leveraging this effect, we implement programmable resistance states in a Hopfield neuromorphic network, achieving 100% pattern recognition accuracy at <=40% noise levels. This approach establishes the electric-field control as a low-power strategy for altermagnetic manipulation while demonstrating the viability of altermagnetic materials for energy-efficient neuromorphic computing beyond conventional charge-based architectures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_10405 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Electric-Field-Controlled Altermagnetic Transition for Neuromorphic Computing Duan, Zhiyuan Qin, Peixin Zhong, Chengyan Zhang, Shaoxuan Liu, Li Zhao, Guojian Wang, Xiaoning Chen, Hongyu Meng, Ziang Li, Jingyu Jiang, Sixu Tan, Xiaoyang Wu, Qiong Liu, Yu Liu, Zhiqi Materials Science Mesoscale and Nanoscale Physics Applied Physics Altermagnets represent a novel magnetic phase with transformative potential for ultrafast spintronics, yet efficient control of their magnetic states remains challenging. We demonstrate an ultra-low-power electric-field control of altermagnetism in MnTe through strain-mediated coupling in MnTe/PMN-PT heterostructures with negligible Joule heating. Application of +6 kV/cm electric fields induces piezoelectric strain in PMN-PT, modulating the Néel temperature from 310 to 328 K. As a result, around the magnetic phase transition, the altermagnetic spin splitting of MnTe is reversibly switched "on" and "off" by the electric fields. Meanwhile, the piezoelectric strain generates lattice distortions and magnetic structure changes in MnTe, enabling up to 9.7% resistance modulation around the magnetic phase transition temperature. Leveraging this effect, we implement programmable resistance states in a Hopfield neuromorphic network, achieving 100% pattern recognition accuracy at <=40% noise levels. This approach establishes the electric-field control as a low-power strategy for altermagnetic manipulation while demonstrating the viability of altermagnetic materials for energy-efficient neuromorphic computing beyond conventional charge-based architectures. |
| title | Electric-Field-Controlled Altermagnetic Transition for Neuromorphic Computing |
| topic | Materials Science Mesoscale and Nanoscale Physics Applied Physics |
| url | https://arxiv.org/abs/2512.10405 |