Voltage-driven flexible skyrmioniums for high-speed transport and reversible logic in discrete electrode nanowires
Source abstract
Abstract
A magnetic skyrmionium, a composite spin texture formed by merging two topologically distinct skyrmions, is a promising information carrier for high-speed and high-density spintronic devices. Although spin current is a common driving force for skyrmionium dynamics, it can induce Joule heating and compromise device stability. To address this limitation, we investigated a voltage-driven approach for propelling skyrmioniums using discrete electrodes. By eliminating Joule heating, our method enables a maximum skyrmionium speed of 101 m s-1. We further established a theoretical framework for a flexible skyrmionium, incorporating its deformation into the Thiele equation to more accurately capture the system's dynamics. Leveraging the precise control offered by voltage gates and the pinning effect, we also designed three skyrmionium-based logic gates-including Boolean, INV/COPY and Fredkin gates-to showcase the practical potential of skyrmioniums in logic operations. Our findings not only open a novel pathway for developing advanced spintronic devices but also underscore the reliability of voltage-driven skyrmioniums as a new perspective for studying skyrmionium dynamics.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Magnetic properties of thin films · Ferroelectric and Negative Capacitance Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Hubei Key Laboratory of Optical Information and Pattern Recognition, School of Optical Information and Energy Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China
Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, China
Funding
Wuhan Institute of Technology · National Natural Science Foundation of China · Department of Science and Technology of Hubei Province
References (56)
Show source-provided references
1. Nagaosa · Nat. Nanotechnol. · 2013 · 8 · 89910.1038/nnano.2013.243 ↗
2. Wiesendanger · Nat. Rev. Mater. · 2016 · 1 · 110.1038/natrevmats.2016.44 ↗
3. Zhang · J. Phys.:Condens. Matter · 2020 · 32 · 462
4. Kanazawa · Adv. Mater. · 2017 · 29 · 160322710.1002/adma.201603227 ↗
5. Kang · Proc. IEEE · 2016 · 104 · 204010.1109/JPROC.2016.2591578 ↗
6. Tokura · Chem. Rev. · 2020 · 121 · 285710.1021/acs.chemrev.0c00297 ↗
7. Tchoe · Phys. Rev. B:Condens. Matter Mater. Phys. · 2012 · 85 · 17441610.1103/PhysRevB.85.174416 ↗
8. Lobanov · Phys. Rev. B · 2016 · 94 · 17441810.1103/PhysRevB.94.174418 ↗
9. Zhang · Nat. Commun. · 2018 · 9 · 211510.1038/s41467-018-04563-4 ↗
10. Casiraghi · Commun. Phys. · 2019 · 2 · 14510.1038/s42005-019-0242-5 ↗
11. Komineas · Phys. Rev. B:Condens. Matter Mater. Phys. · 2015 · 92 · 17440510.1103/PhysRevB.92.174405 ↗
12. Zang · Phys. Rev. Lett. · 2011 · 107 · 13680410.1103/PhysRevLett.107.136804 ↗
13. Jiang · Nat. Phys. · 2017 · 13 · 16210.1038/nphys3883 ↗
14. Litzius · Nat. Phys. · 2017 · 13 · 17010.1038/nphys4000 ↗
15. Zhang · Nat. Commun. · 2016 · 7 · 1029310.1038/ncomms10293 ↗
16. Zhang · Phys. Rev. B · 2016 · 94 · 06440610.1103/PhysRevB.94.064406 ↗
17. Legrand · Nat. Mater. · 2020 · 19 · 3410.1038/s41563-019-0468-3 ↗
18. Xia · J. Appl. Phys. · 2017 · 122 · 15390110.1063/1.4999013 ↗
19. Liang · Phys. Rev. B · 2021 · 104 · 17442110.1103/PhysRevB.104.174421 ↗
20. Shen · Appl. Phys. Lett. · 2018 · 112 · 06240310.1063/1.5010605 ↗
21. Han · Appl. Phys. Lett. · 2009 · 94 · 11250210.1063/1.3098409 ↗
22. Fert · Nat. Nanotechnol. · 2013 · 8 · 15210.1038/nnano.2013.29 ↗
23. Jiang · Science · 2015 · 349 · 28310.1126/science.aaa1442 ↗
24. Yamaguchi · Appl. Phys. Lett. · 2005 · 86 · 01251110.1063/1.1847714 ↗
25. Kanai · Appl. Phys. Lett. · 2012 · 101 · 12240310.1063/1.4753816 ↗
26. Yu · Nano Lett. · 2016 · 16 · 198110.1021/acs.nanolett.5b05257 ↗
27. Schott · Nano Lett. · 2017 · 17 · 300610.1021/acs.nanolett.7b00328 ↗
28. Ma · Nano Lett. · 2018 · 19 · 35310.1021/acs.nanolett.8b03983 ↗
29. Hsu · Nat. Nanotechnol. · 2017 · 12 · 12310.1038/nnano.2016.234 ↗
30. Wang · Appl. Phys. Lett. · 2020 · 117 · 20240110.1063/5.0025124 ↗
31. Chen · ACS Appl. Mater. Interfaces · 2022 · 14 · 3042010.1021/acsami.2c07470 ↗
32. Wang · Nanoscale · 2018 · 10 · 73310.1039/C7NR06482A ↗
33. Liu · Phys. Rev. Appl. · 2019 · 11 · 01400410.1103/PhysRevApplied.11.014004 ↗
34. Zhang · Phys. Rev. B · 2016 · 94 · 09442010.1103/PhysRevB.94.094420 ↗
35. Fernandes · Nat. Commun. · 2018 · 9 · 439510.1038/s41467-018-06827-5 ↗
36. Iwasaki · Nat. Commun. · 2013 · 4 · 146310.1038/ncomms2442 ↗
37. Büttner · Nat. Phys. · 2015 · 11 · 22510.1038/nphys3234 ↗
38. Torrejon · Nat. Commun. · 2014 · 5 · 465510.1038/ncomms5655 ↗
39. Ikeda · Nat. Mater. · 2010 · 9 · 72110.1038/nmat2804 ↗
40. Fook · IEEE Trans. Magn. · 2015 · 51 · 110.1109/TMAG.2015.2433677 ↗
41. Lai · Sci. Rep. · 2017 · 7 · 110.1038/s41598-016-0028-x ↗
42. Devolder · J. Appl. Phys. · 2013 · 113 · 20391210.1063/1.4808102 ↗
43. Skowroński · Appl. Phys. Express · 2015 · 8 · 05300310.7567/APEX.8.053003 ↗
44. Li · Appl. Phys. Lett. · 2017 · 110 · 05240110.1063/1.4975160 ↗
45. Nozaki · Phys. Rev. Appl. · 2016 · 5 · 04400610.1103/PhysRevApplied.5.044006 ↗
46. Kozioł-Rachwał · Sci. Rep. · 2017 · 7 · 599310.1038/s41598-017-05994-7 ↗
47. Zhao · Sci. Bull. · 2024 · 69 · 237010.1016/j.scib.2024.05.035 ↗
48. Thiele · Phys. Rev. Lett. · 1973 · 30 · 23010.1103/PhysRevLett.30.230 ↗
49. Wang · Commun. Phys. · 2018 · 1 · 3110.1038/s42005-018-0029-0 ↗
50. Liu · Phys. Rev. Lett. · 2023 · 131 · 24670110.1103/PhysRevLett.131.246701 ↗
51. Sisodia · Phys. Rev. Appl. · 2022 · 17 · 06403510.1103/PhysRevApplied.17.064035 ↗
52. Chauwin · Phys. Rev. Appl. · 2019 · 12 · 06405310.1103/PhysRevApplied.12.064053 ↗
53. Belrhazi · ACS Appl. Mater. Interfaces · 2024 · 16 · 370310.1021/acsami.3c16542 ↗
54. Penthorn · Phys. Rev. Lett. · 2019 · 122 · 25720110.1103/PhysRevLett.122.257201 ↗
55. Lone · IEEE Trans. Electron Devices · 2022 · 70 · 37110.1109/TED.2022.3220492 ↗
56. Chen · Phys. Rev. Res. · 2020 · 2 · 04331210.1103/PhysRevResearch.2.043312 ↗