Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 78 tok/s
Gemini 2.5 Pro 43 tok/s Pro
GPT-5 Medium 23 tok/s
GPT-5 High 29 tok/s Pro
GPT-4o 93 tok/s
GPT OSS 120B 470 tok/s Pro
Kimi K2 183 tok/s Pro
2000 character limit reached

Controlled spin-to-charge conversion in noncollinear antiferromagnet-based Py/Mn$_{3}$Pt heterostructure (2508.21014v1)

Published 28 Aug 2025 in cond-mat.mtrl-sci and cond-mat.mes-hall

Abstract: Noncollinear antiferromagnets (NCAFs) have recently emerged as promising candidates for future spintronic technologies, offering ultrafast switching, negligible stray fields allowing dense packing, and robustness against external magnetic perturbations. When interfaced with ferromagnets (FMs), they can strongly influence interfacial exchange and spin-torque mechanisms that enable manipulating magnetic order and realizing functionalities beyond conventional heavy metals (HMs) based FM/HM heterostructures. Here, we perform a broadband ferromagnetic resonance (FMR) study to systematically investigate the magnetization dynamics and spin-to-charge conversion in permalloy (Py) and Mn$3$Pt bilayers. High-quality Py films provide a well-defined FMR spectra with a low Gilbert damping parameter ( $\alpha{\mathrm{eff}} \approx 9.8 \times 10{-3}$). We observe a pronounced enhancement of damping with intrinsic value $\alpha_{\mathrm{int}} \approx 3.1 \times 10{-2}$ in the Py/Mn$3$Pt bilayer, indicating efficient spin pumping into the NCAF layer. Frequency dependent linewidth analysis shows a predominantly Gilbert type damping in the bilayers and the corresponding effective spin-mixing conductance ( $g{\uparrow\downarrow}{\mathrm{eff}} \approx 4.8 \times 10{18}$m${-2}$) is comparable to that of other high-performance antiferromagnetic heterostructures. These results are significant for establishing NCAFs as a candidate material for spin generation and highlights the potential of Py/Mn$_3$Pt bilayers for efficient and ultrafast spintronic applications.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com