Efficient Charge‐to‐Orbit Current Conversion for Orbital Torque Based Artificial Neurons and Synapses
Abstract Orbital Hall effect (OHE) in light metal materials has attracted significant attention due to its potential applications in innovative orbitronic devices. Here, the OHE in titanium film is investigated and the orbital torque efficiency in Pt/[Co/Ni] 3 /Ti multilayers is characterized. A notable effective field per unit current density of orbital torque is achieved, nearing 560 Oe per 10 7 A cm −2 in a sample featuring 25 nm Ti layer. The corresponding orbital torque efficiency is ≈0.25. The resulting orbital torque effectively switches the perpendicularly magnetized moments in Co/Ni multilayers. In contrast, a reference sample of Pt/[Co/Ni] 3 /Pt demonstrates significantly lower switching efficiency. Furthermore, it is demonstrated that the multi‐states switching driven by orbital torque in Pt/[Co/Ni] 3 /Ti structure can mimic the behaviors of artificial neurons and synapses. This work not only enhances the understanding of the orbital torque but also offers the development of novel orbitronic devices based on OHE.
Authors
- Huiliang Wu
- Jinwu Wei (ORCID: https://orcid.org/0009-0009-1324-784X)
- Bin He (ORCID: https://orcid.org/0000-0003-4891-4306)
- Quwen Wang
- Chenbo Zhao (ORCID: https://orcid.org/0000-0003-4423-790X)
- Qian Zhao (ORCID: https://orcid.org/0000-0001-8825-5515)
- Jianbo Wang (ORCID: https://orcid.org/0000-0002-4203-8336)
- Guoqiang Yu (ORCID: https://orcid.org/0009-0003-9562-2899)
- X. Luo (ORCID: https://orcid.org/0009-0009-5563-2412)
- Pan Liu (ORCID: https://orcid.org/0000-0002-6350-2361)
- Zimu Li (ORCID: https://orcid.org/0000-0003-1473-6492)
- Qingfang Liu (ORCID: https://orcid.org/0000-0001-6533-2880)
- Tengfei Zhang (ORCID: https://orcid.org/0000-0003-3986-9822)
Institutions
- Chinese Academy of Sciences (CN)
- Lanzhou University of Technology (CN)
- Energy Foundation (CN)
- Institute of Physics (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Advanced Electronic Materials
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1002/aelm.202400721
- Citations
- 4
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.83
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Gansu Province
- Natural Science Foundation of Sichuan Province