Enhancing thermal stability of synaptic states in spin-orbit-torque-driven synapse devices through the use of gradient multilayers

Synaptic spintronic devices based on domain-wall motion driven by spin-orbit torque are appealing for neuromorphic computing applications. Unlike in other technologies, though, here the long-term stability of multiple consecutive synaptic states is rare. To address this issue, the authors exploit the high thermal stability of magnetization in a heavy-metal/ferromagnetic-metal stack with graded thickness of the heavy metal. In micrometer-scale devices made from the stack, they demonstrate the stability of approximately 30 synaptic states for up to 1200 seconds, with some states stable for up to 50,000 seconds. These results pave the way for spintronic neuromorphic computing technologies.

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Publication Details

Journal
Physical Review Applied
Published
2025-10-14
DOI
https://doi.org/10.1103/22yc-b159
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46
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article

Enhancing thermal stability of synaptic states in spin-orbit-torque-driven synapse devices through the use of gradient multilayers

Kacho Imtiyaz Ali Khan, Debanjan Bhowmik, P. K. Muduli, Pankhuri Gupta et al.
2 citations
Physical Review Applied
Advanced Memory and Neural Computing
1.46
article

Enhancing thermal stability of synaptic states in spin-orbit-torque-driven synapse devices through the use of gradient multilayers

Kacho Imtiyaz Ali Khan, Debanjan Bhowmik, P. K. Muduli, Pankhuri Gupta, Aniket Sadashiva, Ram Singh Yadav, V K Yadav
article en
2 citations

Abstract

Synaptic spintronic devices based on domain-wall motion driven by spin-orbit torque are appealing for neuromorphic computing applications. Unlike in other technologies, though, here the long-term stability of multiple consecutive synaptic states is rare. To address this issue, the authors exploit the high thermal stability of magnetization in a heavy-metal/ferromagnetic-metal stack with graded thickness of the heavy metal. In micrometer-scale devices made from the stack, they demonstrate the stability of approximately 30 synaptic states for up to 1200 seconds, with some states stable for up to 50,000 seconds. These results pave the way for spintronic neuromorphic computing technologies.

Physical Review AppliedVol. 24(4)
Indian Institute of Technology Bombay (IN), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.46
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Enhancing thermal stability of synaptic states in spin-orbit-torque-driven synapse devices through the use of gradient multilayers — Kacho Imtiyaz Ali Khan, Debanjan Bhowmik, et al. · Physical Review Applied (2025) | TGRS Research Map | TGRS