Projected Disc-type Phase-change Memory for Analog In-Memory Computing

Abstract Resistive memory technologies offer a compelling advantage for in-memory computing. However, realizing a device architecture that simultaneously achieves high computational precision, efficiency, and density has remained elusive due to inherent trade-offs among these performance metrics. Here, we introduce a compact phase-change memory device architecture that combines an ultra-confined active switching volume for enhanced electro-thermal efficiency with a non-insulating thin film that suppresses temporal conductance fluctuations. We analytically model and back-end integrate these devices into crossbar arrays. Even with conventional, undoped phase-change materials, the device architecture enables a computational precision approaching 6 bits, low conductance values below 50 μS with an adequate conductance window, and a viable pathway toward sub-100 μA programming currents under nominal operating voltages.

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Publication Details

Journal
Research Square
Published
2026-11-02
DOI
https://doi.org/10.21203/rs.3.rs-11453571/v1
Primary Topic
Advanced Memory and Neural Computing
Type
preprint
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preprint

Projected Disc-type Phase-change Memory for Analog In-Memory Computing

Syed Ghazi Sarwat, Abu Sebastian, Antonio Massimiliano Mio, Vara Prasad Jonnalagadda et al.
Research Square
Advanced Memory and Neural Computing
preprint

Projected Disc-type Phase-change Memory for Analog In-Memory Computing

Syed Ghazi Sarwat, Abu Sebastian, Antonio Massimiliano Mio, Vara Prasad Jonnalagadda, Matthew J. BrightSky, Asit Ray, Loris Coccia
preprint en

Abstract

Abstract Resistive memory technologies offer a compelling advantage for in-memory computing. However, realizing a device architecture that simultaneously achieves high computational precision, efficiency, and density has remained elusive due to inherent trade-offs among these performance metrics. Here, we introduce a compact phase-change memory device architecture that combines an ultra-confined active switching volume for enhanced electro-thermal efficiency with a non-insulating thin film that suppresses temporal conductance fluctuations. We analytically model and back-end integrate these devices into crossbar arrays. Even with conventional, undoped phase-change materials, the device architecture enables a computational precision approaching 6 bits, low conductance values below 50 μS with an adequate conductance window, and a viable pathway toward sub-100 μA programming currents under nominal operating voltages.

Research Square
IBM (United States) (US), IBM Research - Zurich (CH)
Advanced Memory and Neural Computing
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