Increasing spin–orbit torque efficiency by doping Pt: sub-monolayer insertions versus alloys

Abstract Spin–orbit torque magnetoresisitive random-access memory (SOT-MRAM) is a promising candidate as a non-volatile SRAM replacement. However, one of the biggest challenges that limits the SOT-MRAM application, is the relatively high current that is needed to switch the free layer. Pt is a promising SOT track material due to its low resistivity and compatibility with back end of line (BEOL) processes, though it has relatively low SOT-efficiency. A possible route to increase the SOT-efficiency of Pt is to dope it with another material. In this work, a comparative study is conducted between Pt with sub-monolayer insertions (local doping) and Pt-alloys (global doping), referred to as PtX. The structural differences between them lead to a different SOT-efficiency trend with respect to the content of the PtX layer. It is shown that in the Pt/X-insertions, a SOT-efficiency increase is obtained up to three sub-monolayer insertions and is relatively independent of the material X. On the other hand, the SOT-efficiencies in Pt-alloys are highly dependent on the material X. Compared to pure Pt, our results show that the SOT-efficiency of PtCu-alloys increases up to about three times, whereas PtCr-alloys show no significant enhancement. Furthermore, PtCu is a promising route towards BEOL compatible SOT-MRAMs, since it is shown that it can maintain the perpendicular magnetic anisotropy of 1 nm Co after 400 ∘ C annealing, whilst maintaining an increased SOT-efficiency.

Authors

Institutions

Publication Details

Journal
Journal of Physics D Applied Physics
Published
2024-12-13
DOI
https://doi.org/10.1088/1361-6463/ad9ebc
Citations
1
Primary Topic
Magnetic properties of thin films
Type
article
Field-Weighted Citation Impact
0.34

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Increasing spin–orbit torque efficiency by doping Pt: sub-monolayer insertions versus alloys

Kaiming Cai, Marta Agati, Sébastien Couet, V.D. Nguyen et al.
1 citations
Journal of Physics D Applied Physics
Magnetic properties of thin films
0.34
article

Increasing spin–orbit torque efficiency by doping Pt: sub-monolayer insertions versus alloys

Kaiming Cai, Marta Agati, Sébastien Couet, V.D. Nguyen, Giacomo Talmelli, Paola Favia, Kurt Wostyn, R. Carpenter, Ward Janssens, Jo DeBoeck
article en
1 citations

Abstract

Abstract Spin–orbit torque magnetoresisitive random-access memory (SOT-MRAM) is a promising candidate as a non-volatile SRAM replacement. However, one of the biggest challenges that limits the SOT-MRAM application, is the relatively high current that is needed to switch the free layer. Pt is a promising SOT track material due to its low resistivity and compatibility with back end of line (BEOL) processes, though it has relatively low SOT-efficiency. A possible route to increase the SOT-efficiency of Pt is to dope it with another material. In this work, a comparative study is conducted between Pt with sub-monolayer insertions (local doping) and Pt-alloys (global doping), referred to as PtX. The structural differences between them lead to a different SOT-efficiency trend with respect to the content of the PtX layer. It is shown that in the Pt/X-insertions, a SOT-efficiency increase is obtained up to three sub-monolayer insertions and is relatively independent of the material X. On the other hand, the SOT-efficiencies in Pt-alloys are highly dependent on the material X. Compared to pure Pt, our results show that the SOT-efficiency of PtCu-alloys increases up to about three times, whereas PtCr-alloys show no significant enhancement. Furthermore, PtCu is a promising route towards BEOL compatible SOT-MRAMs, since it is shown that it can maintain the perpendicular magnetic anisotropy of 1 nm Co after 400 ∘ C annealing, whilst maintaining an increased SOT-efficiency.

Journal of Physics D Applied PhysicsVol. 58(10)
IMEC (BE), KU Leuven (BE)
Fonds Wetenschappelijk Onderzoek
Openalex Percentile: Top 38%
Magnetic properties of thin films
0.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.