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Rules of hierarchical melt and coordinate bond to design crystallization in doped phase change materials

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  • Jin Zhao

    (Chinese Academy of Sciences
    Shanghai Tech University
    University of Chinese Academy of Sciences)

  • Wen-Xiong Song

    (Chinese Academy of Sciences)

  • Tianjiao Xin

    (Chinese Academy of Sciences)

  • Zhitang Song

    (Chinese Academy of Sciences)

Abstract

While alloy design has practically shown an efficient strategy to mediate two seemingly conflicted performances of writing speed and data retention in phase-change memory, the detailed kinetic pathway of alloy-tuned crystallization is still unclear. Here, we propose hierarchical melt and coordinate bond strategies to solve them, where the former stabilizes a medium-range crystal-like region and the latter provides a rule to stabilize amorphous. The Er0.52Sb2Te3 compound we designed achieves writing speed of 3.2 ns and ten-year data retention of 161 °C. We provide a direct atomic-level evidence that two neighbor Er atoms stabilize a medium-range crystal-like region, acting as a precursor to accelerate crystallization; meanwhile, the stabilized amorphous originates from the formation of coordinate bonds by sharing lone-pair electrons of chalcogenide atoms with the empty 5d orbitals of Er atoms. The two rules pave the way for the development of storage-class memory with comprehensive performance to achieve next technological node.

Suggested Citation

  • Jin Zhao & Wen-Xiong Song & Tianjiao Xin & Zhitang Song, 2021. "Rules of hierarchical melt and coordinate bond to design crystallization in doped phase change materials," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26696-9
    DOI: 10.1038/s41467-021-26696-9
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    References listed on IDEAS

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    1. Min Zhu & Mengjiao Xia & Feng Rao & Xianbin Li & Liangcai Wu & Xinglong Ji & Shilong Lv & Zhitang Song & Songlin Feng & Hongbo Sun & Shengbai Zhang, 2014. "One order of magnitude faster phase change at reduced power in Ti-Sb-Te," Nature Communications, Nature, vol. 5(1), pages 1-6, September.
    2. J. Feldmann & N. Youngblood & C. D. Wright & H. Bhaskaran & W. H. P. Pernice, 2019. "All-optical spiking neurosynaptic networks with self-learning capabilities," Nature, Nature, vol. 569(7755), pages 208-214, May.
    3. Paul Z. Hanakata & Jack F. Douglas & Francis W. Starr, 2014. "Interfacial mobility scale determines the scale of collective motion and relaxation rate in polymer films," Nature Communications, Nature, vol. 5(1), pages 1-8, September.
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