journal article·2025-04-22

Spintronic Logic Devices Based on Skyrmioniums and Magnetic Defects

Sebastian Rodrigo Navarro Vilca, Silvana Rocio Urcia Romero, Helmunt Eduardo Vigo Cotrina

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Abstract

This study uses micromagnetic simulations to investigate how skyrmioniums can function as information carriers in logic devices. By deliberately placing magnetic defects within a device and adjusting the applied current using the spin–orbit torque effect, we can control the trajectory of skyrmioniums. This control allows us to either displace or trap the skyrmioniums at specific locations due to the attractive or repulsive interactions between the magnetic defects and the skyrmioniums. The geometry used is a reconfigurable logic gate that enables various universal logic operations. We also demonstrate that it is possible to create more complex systems, such as Half Adders and Full Adders, by utilizing magnetic defects with a specific Dzyaloshinskii–Moriya interaction constant.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Magnetic properties of thin films · Advanced Memory and Neural Computing · Semiconductor materials and devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Departamento de Física Aplicada, Universidad Nacional Jorge Basadre Grohmann, Avenida Miraflores S/N, Ciudad Universitaria, Tacna 23003, Peru

Department of Physics

University of Puerto Rico at Mayagüez

Grupo de Investigación en Ciencias Aplicadas y Nuevas Tecnologías

Universidad Privada del Norte

Funding

Universidad Privada del Norte

References (51)

Show source-provided references
1. 10.1016/j.physrep.2020.10.00110.1016/j.physrep.2020.10.001 ↗
2. 10.1038/natrevmats.2017.3110.1038/natrevmats.2017.31 ↗
3. 10.1038/nnano.2013.24310.1038/nnano.2013.243 ↗
4. 10.1038/s41565-021-00954-910.1038/s41565-021-00954-9 ↗
5. 10.1016/j.physb.2021.41314410.1016/j.physb.2021.413144 ↗
6. 10.1088/1367-2630/ac5df910.1088/1367-2630/ac5df9 ↗
7. 10.1063/1.502256710.1063/1.5022567 ↗
8. 10.1016/j.jmmm.2020.16684810.1016/j.jmmm.2020.166848 ↗
9. 10.1063/5.022799610.1063/5.0227996 ↗
10. 10.1103/PhysRevB.94.09442010.1103/PhysRevB.94.094420 ↗
11. 10.1038/s41598-019-48617-z10.1038/s41598-019-48617-z ↗
12. 10.1038/s41598-018-34934-210.1038/s41598-018-34934-2 ↗
13. 10.1088/1361-6463/ab47bd10.1088/1361-6463/ab47bd ↗
14. 10.1038/srep0678410.1038/srep06784 ↗
15. 10.1038/nnano.2013.21010.1038/nnano.2013.210 ↗
16. 10.1063/1.496700610.1063/1.4967006 ↗
17. 10.1038/srep2479510.1038/srep24795 ↗
18. 10.1038/nnano.2017.17810.1038/nnano.2017.178 ↗
19. 10.1063/5.004291710.1063/5.0042917 ↗
20. 10.1038/nnano.2013.2910.1038/nnano.2013.29 ↗
21. 10.1088/1361-6528/aa7af510.1088/1361-6528/aa7af5 ↗
22. 10.1103/PhysRevApplied.12.06405310.1103/PhysRevApplied.12.064053 ↗
23. 10.1088/1674-1056/ac9b0110.1088/1674-1056/ac9b01 ↗
24. 10.1038/ncomms565210.1038/ncomms5652 ↗
25. 10.1103/PhysRevB.94.05440810.1103/PhysRevB.94.054408 ↗
26. 10.1038/srep0940010.1038/srep09400 ↗
27. 10.1103/PhysRevApplied.16.01404010.1103/PhysRevApplied.16.014040 ↗
28. 10.1109/LMAG.2017.268972110.1109/LMAG.2017.2689721 ↗
29. 10.1021/acs.nanolett.7b0472210.1021/acs.nanolett.7b04722 ↗
30. 10.1021/acsami.3c1654210.1021/acsami.3c16542 ↗
31. 10.1063/9.000040210.1063/9.0000402 ↗
32. 10.3390/nano1202027810.3390/nano12020278 ↗
33. 10.1109/LED.2019.294686310.1109/LED.2019.2946863 ↗
34. 10.1016/j.jmmm.2023.17038710.1016/j.jmmm.2023.170387 ↗
35. 10.1093/nsr/nwac02110.1093/nsr/nwac021 ↗
36. 10.1109/TED.2021.305515710.1109/TED.2021.3055157 ↗
37. 10.1002/adts.20240024310.1002/adts.202400243 ↗
38. Zhou, Z.; Guin, U.; Li, P.; Agrawal, V. D. Defect characterization and testing of skyrmion-based logic circuits. In 2021 IEEE 39th VLSI Test Symposium (VTS); IEEE, 2021, pp 1–7.10.1109/VTS50974.2021.9441054 ↗
39. 10.1063/5.004902410.1063/5.0049024 ↗
40. 10.1063/5.015187510.1063/5.0151875 ↗
41. 10.1103/PhysRevLett.119.19720510.1103/PhysRevLett.119.197205 ↗
42. 10.1038/srep1713710.1038/srep17137 ↗
43. 10.1103/PhysRevB.102.01445810.1103/PhysRevB.102.014458 ↗
44. 10.7567/1347-4065/ab5b6b10.7567/1347-4065/ab5b6b ↗
45. 10.1103/PhysRevB.92.06441210.1103/PhysRevB.92.064412 ↗
46. 10.1063/1.489918610.1063/1.4899186 ↗
47. 10.1103/PhysRevB.110.06440410.1103/PhysRevB.110.064404 ↗
48. 10.1063/5.016098810.1063/5.0160988 ↗
49. 10.1038/s41598-021-81992-010.1038/s41598-021-81992-0 ↗
50. 10.1063/5.020782710.1063/5.0207827 ↗
51. 10.17586/2220-8054-2024-15-5-597-62010.17586/2220-8054-2024-15-5-597-620 ↗