PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 22, 2026Applied Physics Letters0 citations

Engineering neuromorphic phase-change memory: Carbon-doped GeSbTe with high thermal stability and low resistance drift

View Full Paper
HHHengyi HuSYShaojie YuanSTSiqi Tang

Key Points

  • The research aims to improve phase-change memory (PCM) by doping GeSbTe with carbon to enhance thermal stability and reduce resistance drift.
  • Demonstrated carbon doping in Ge1Sb4Te7 (GST) and measured its effects on thermal stability and electrical properties.
  • Conducted ab initio simulations to uncover atomic-scale mechanisms of enhancement.
  • Evaluated thermal robustness by measuring crystallization temperature and data retention over time.
  • Carbon doping raised the crystallization temperature of GST to above 200 °C.
  • Achieved up to a fourfold increase in data retention, with 10-year stability at 100 °C.
  • GST-C PCM devices showed very low resistance drift with a value of 0.03 and maintained highly reproducible multilevel resistance states.

Abstract

Phase-change memory (PCM) has emerged as a promising non-volatile memory technology, offering significant potential for next-generation artificial intelligence and neuromorphic computing systems. However, conventional Ge1Sb4Te7 (GST), a prototypical stoichiometric phase-change chalcogenide, suffers from intrinsic limitations such as inadequate thermal stability and pronounced resistance drift, hindering its practical applications in high-performance devices and chips. In this study, we demonstrate that carbon (C) doping in GST markedly enhances its thermal robustness and data retention, while elucidating the underlying microstructure property relationships. Carbon doping significantly increases the crystallization temperature of GST, shifting it to and beyond 200 °C with increasing carbon content. Higher carbon incorporation also yields up to a fourfold improvement in data retention, achieving 10-year stability at 100 °C. Moreover, GST-C-based PCM devices exhibit excellent electrical stability, featuring ultralow resistance drift (ν = 0.03) and highly reproducible multilevel resistance states. Through ab initio simulations, we uncover the atomic-scale mechanisms governing these enhancements: carbon incorporation induces the formation of robust, shortened bonds with Ge/Sb/Te, promoting tetrahedral C clusters that impede crystallization by elevating the activation energy barrier. This work identifies GST-C as a promising candidate for reliable, high-density PCM and highlights its potential for neuromorphic computing applications.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/6971bd90642b1836717e23bfhttps://doi.org/10.1063/5.0303105
Ask AI
Helpful
Bookmark
Share
View Full Paper