Efficient Magnetization Switching via Orbital-to-Spin Conversion in Cr/W-Based Heterostructures
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide A highly efficient spin–orbit torque (SOT) switching mechanism is crucial for the realization of practical SOT magnetic random-access memory (MRAM). This study proposes a Cr/W-based spin current source (SCS) that harvests the sizable orbital current from resistive Cr and results in an additional SOT through the orbital-to-spin conversion via the adjacent thin W layer. The optimal damping-like SOT efficiency can be up to −0.30 for the Cr/W heterostructure and −0.32 for the Cr/W multilayer, both of which outperform the traditional resistive W with a baseline SOT efficiency of −0.23. Additionally, the resistivity dependence of the apparent spin–orbital Hall conductivity reveals that using highly resistive Cr (>400 μΩ·cm) is the key to generating efficient orbital currents. In the cases of Cr/W heterostructure and Cr/W multilayer structures, the largely improved efficiencies also contribute to an ultralow current magnetization switching with zero-thermal current density of 1.88 and 1.54 MA/cm 2, expanding the utility of W-based SOT devices in high-efficiency and low-power memory applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Magnetic properties of thin films · Heusler alloys: electronic and magnetic properties · ZnO doping and properties
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials Science and Engineering
National Taiwan University
Corporate Research
Taiwan Semiconductor Manufacturing Company
Funding
Center of Atomic Initiative for New Materials, National Taiwan University · Taiwan Semiconductor Manufacturing Company · National Science and Technology Council
References (52)
Show source-provided references
1. Tang D. D. · 202010.1002/9781119562269 ↗
2. 10.1126/science.121819710.1126/science.1218197 ↗
3. 10.1109/TMSCS.2015.250996310.1109/TMSCS.2015.2509963 ↗
4. Fan, D.; Angizi, S.; He, Z. In Memory Computing with Spintronic Devices, Computer Society Annual Symposium on VLSI (ISVLSI); IEEE, 2017; pp 683–688.10.1109/ISVLSI.2017.116 ↗
5. 10.1063/1.490244310.1063/1.4902443 ↗
6. Garello, K.; Yasin, F.; Couet, S.; Souriau, L.; Swerts, J.; Rao, S.; Van Beek, S.; Kim, W.; Liu, E.; Kundu, S. In SOT-MRAM 300 mm Integration for Low Power and Ultrafast Embedded Memories, 2018 Symposium on VLSI Circuits; IEEE, 2018; pp 81–82.10.1109/VLSIC.2018.8502269 ↗
7. 10.1002/qute.20200002410.1002/qute.202000024 ↗
8. 10.1063/1.507991710.1063/1.5079917 ↗
9. Doevenspeck, J.; Garello, K.; Verhoef, B.; Degraeve, R.; Van Beek, S.; Crotti, D.; Yasin, F.; Couet, S.; Jayakumar, G.; Papistas, I. In SOT-MRAM Based Analog In-Memory Computing for DNN Inference, 2020 IEEE Symposium on VLSI Technology; IEEE, 2020; pp 1–2.10.1109/VLSITechnology18217.2020.9265099 ↗
10. Lin, S.J.; Huang, Y.L.; Song, M.; Lee, C.M.; Xue, F.; Chen, G.L.; Yang, S.Y.; Chang, Y.J.; Wang, I.J.; Hsin, Y.C. In Challenges toward Low-Power SOT-MRAM, 2021 IEEE International Reliability Physics Symposium (IRPS); IEEE, 2021; pp 1–7.10.1109/IRPS46558.2021.9405127 ↗
11. 10.1038/nnano.2013.14510.1038/nnano.2013.145 ↗
12. 10.1016/j.jmmm.2022.16916110.1016/j.jmmm.2022.169161 ↗
13. 10.1038/s41427-023-00521-910.1038/s41427-023-00521-9 ↗
14. 10.1021/acs.nanolett.3c0382910.1021/acs.nanolett.3c03829 ↗
15. Gupta, M.; Perumkunnil, M.; Yasin, F.; Mirabelli, G.; Garello, K.; Gupta, A.; Furnémont, A.; Kar, G. In Challenges with SOT-MRAM Integration towards N5 Node and Beyond, DTCO and Computational Patterning; SPIE, 2022; p 1205202.10.1117/12.2613482 ↗
16. 10.1103/PhysRevLett.83.183410.1103/PhysRevLett.83.1834 ↗
17. 10.1063/1.294974010.1063/1.2949740 ↗
18. 10.1103/PhysRevApplied.3.03400910.1103/PhysRevApplied.3.034009 ↗
19. 10.1021/acsaelm.2c0149910.1021/acsaelm.2c01499 ↗
20. Couet, S.; Rao, S.; Van Beek, S.; Nguyen, V.; Garello, K.; Kateel, V.; Jayakumar, G.; Costa, J.; Cai, K.; Yasin, F. In BEOL Compatible High Retention Perpendicular SOT-MRAM Device for SRAM Replacement and Machine Learning, 2021 Symposium on VLSI Technology; IEEE, 2021; pp 1–2.
21. 10.1103/PhysRevResearch.2.01317710.1103/PhysRevResearch.2.013177 ↗
22. 10.1103/PhysRevResearch.2.03340110.1103/PhysRevResearch.2.033401 ↗
23. 10.1038/s42005-021-00737-710.1038/s42005-021-00737-7 ↗
24. 10.1103/PhysRevLett.116.12660110.1103/PhysRevLett.116.126601 ↗
25. 10.1103/PhysRevB.77.16511710.1103/PhysRevB.77.165117 ↗
26. 10.1103/PhysRevLett.121.08660210.1103/PhysRevLett.121.086602 ↗
27. 10.1103/PhysRevLett.102.01660110.1103/PhysRevLett.102.016601 ↗
28. 10.1103/PhysRevB.98.21440510.1103/PhysRevB.98.214405 ↗
29. 10.1038/s42005-023-01139-710.1038/s42005-023-01139-7 ↗
30. 10.1103/PhysRevLett.125.17720110.1103/PhysRevLett.125.177201 ↗
31. 10.1103/PhysRevLett.128.06720110.1103/PhysRevLett.128.067201 ↗
32. 10.1103/PhysRevB.103.L12111310.1103/PhysRevB.103.L121113 ↗
33. 10.1103/PhysRevB.103.L02040710.1103/PhysRevB.103.L020407 ↗
34. 10.1103/PhysRevB.103.19530910.1103/PhysRevB.103.195309 ↗
35. 10.1103/PhysRevB.102.03540910.1103/PhysRevB.102.035409 ↗
36. 10.1103/PhysRevB.101.16140910.1103/PhysRevB.101.161409 ↗
37. 10.1103/PhysRevLett.126.05660110.1103/PhysRevLett.126.056601 ↗
38. 10.1021/acsaelm.1c0123310.1021/acsaelm.1c01233 ↗
39. 10.1038/nmat280410.1038/nmat2804 ↗
40. 10.1103/PhysRevB.93.14440910.1103/PhysRevB.93.144409 ↗
41. 10.1002/pssr.20190040810.1002/pssr.201900408 ↗
42. 10.1021/acsaelm.3c0025410.1021/acsaelm.3c00254 ↗
43. 10.1103/PhysRevLett.58.227110.1103/PhysRevLett.58.2271 ↗
44. 10.1103/PhysRevResearch.4.03303710.1103/PhysRevResearch.4.033037 ↗
45. 10.1103/PhysRevLett.92.08830210.1103/PhysRevLett.92.088302 ↗
46. 10.1063/1.491868210.1063/1.4918682 ↗
47. 10.1103/PhysRevB.90.14040710.1103/PhysRevB.90.140407 ↗
48. 10.1103/PhysRevApplied.9.01402210.1103/PhysRevApplied.9.014022 ↗
49. 10.1103/PhysRevApplied.13.06404310.1103/PhysRevApplied.13.064043 ↗
50. 10.1103/PhysRevB.92.02041810.1103/PhysRevB.92.020418 ↗
51. 10.1103/PhysRevApplied.18.05407910.1103/PhysRevApplied.18.054079 ↗
52. 10.1063/5.003088010.1063/5.0030880 ↗