Phase‐Change Memory for Cryogenic In‐Memory Computing

ABSTRACT In‐memory computing (IMC) is an emerging non‐von Neumann paradigm that leverages the intrinsic physics of memory devices to perform computations directly within the memory array. Among the various candidates, phase‐change memory (PCM) has emerged as a leading non‐volatile technology, showing significant promise for IMC, particularly in deep learning acceleration. PCM‐based IMC is also poised to play a pivotal role in cryogenic applications, including quantum computing and deep‐space electronics. In this work, we present a comprehensive characterization of PCM devices across temperatures down to 5 K, covering the conditions most relevant to these domains. We systematically investigate key physical mechanisms such as phase transitions and threshold switching that govern device programming at low temperatures. In addition, we study attributes including electrical transport, structural relaxation, and read noise, which critically affect read‐out behavior and, in turn, the precision achievable in computational tasks.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-03-11
DOI
https://doi.org/10.1002/adfm.202525704
Primary Topic
Phase-change materials and chalcogenides
Type
article
Field-Weighted Citation Impact
0.00
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article

Phase‐Change Memory for Cryogenic In‐Memory Computing

Alberto Ferraris, Manuel Le Gallo, Abu Sebastian, D. Lombardo et al.
Advanced Functional Materials
Phase-change materials and chalcogenides
article

Phase‐Change Memory for Cryogenic In‐Memory Computing

Alberto Ferraris, Manuel Le Gallo, Abu Sebastian, D. Lombardo, S. Gautam, Ghazi Sarwat Syed, Valeria Bragaglia
article en

Abstract

ABSTRACT In‐memory computing (IMC) is an emerging non‐von Neumann paradigm that leverages the intrinsic physics of memory devices to perform computations directly within the memory array. Among the various candidates, phase‐change memory (PCM) has emerged as a leading non‐volatile technology, showing significant promise for IMC, particularly in deep learning acceleration. PCM‐based IMC is also poised to play a pivotal role in cryogenic applications, including quantum computing and deep‐space electronics. In this work, we present a comprehensive characterization of PCM devices across temperatures down to 5 K, covering the conditions most relevant to these domains. We systematically investigate key physical mechanisms such as phase transitions and threshold switching that govern device programming at low temperatures. In addition, we study attributes including electrical transport, structural relaxation, and read noise, which critically affect read‐out behavior and, in turn, the precision achievable in computational tasks.

Advanced Functional Materials
IBM Research - Zurich (CH), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 25%
Phase-change materials and chalcogenides
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