通过高通量筛选确定用于嵌入式存储器应用的二维层状相变卤化合金

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL npj Computational Materials Pub Date : 2024-08-25 DOI:10.1038/s41524-024-01387-3
Suyang Sun, Xiaozhe Wang, Yihui Jiang, Yibo Lei, Siyu Zhang, Sanjay Kumar, Junying Zhang, En Ma, Riccardo Mazzarello, Jiang-Jing Wang, Wei Zhang
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引用次数: 0

摘要

卤化镓相变材料(PCM)在非易失性存储器、神经形态计算和纳米光子学等尖端应用中展现出多方面的可能性。然而,对于嵌入式相变存储器应用而言,传统的 PCM 因其结晶温度 (Tx) 相对较低而存在热稳定性不足的问题。虽然掺入额外的合金元素可以提高非晶稳定性,但同时也会增加成分分割和相分离的趋势。最近,一种二维(2D)层状化合物 CrGeTe3(CrGT)被开发为 PCM,显示出较高的 Tx ~ 276 °C,并且在相变时电阻开关特性会发生反向变化。在此,我们报告了对二维层状相变瑀的高通量材料筛选。我们的目的是澄清高 Tx 和反向电阻对比是否是二维 PCM 的固有特征。我们从一个大型数据库中总共识别出 25 种具有 CrGT 三层结构的二维掺杂物。然后,我们通过进行全面的 ab initio 模拟和实验研究,重点研究了所选的层状碲化镉,并证实它们的非晶相确实比传统的 PCM 具有更高的 Tx。我们将这种增强的无定形稳定性归因于结晶所需的结构复杂的原子核。总之,我们认为 InGeTe3 是一种平衡的二维 PCM,具有高热稳定性和大电气对比度,适用于嵌入式存储器应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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High-throughput screening to identify two-dimensional layered phase-change chalcogenides for embedded memory applications

Chalcogenide phase-change materials (PCMs) are showing versatile possibilities in cutting-edge applications, including non-volatile memory, neuromorphic computing, and nano-photonics. However, for embedded phase-change memory applications, conventional PCMs suffer from insufficient thermal stability because of their relatively low crystallization temperatures (Tx). Although doping with additional alloying elements could improve the amorphous stability, it also increases the tendency towards compositional partitioning and phase separation. Recently, a two-dimensional (2D) layered compound CrGeTe3 (CrGT) was developed as a PCM, showing a high Tx ~ 276 °C with an inverse change in resistive-switching character upon phase transition. Here, we report a high-throughput materials screening for 2D layered phase-change chalcogenides. We aim to clarify whether the high Tx and the inverse electrical resistance contrast are intrinsic features of 2D PCMs. In total, twenty-five 2D chalcogenides with CrGT trilayer structures have been identified from a large database. We then focused on selected layered tellurides by performing thorough ab initio simulations and experimental investigations and confirming that their amorphous phase indeed has a much higher Tx than conventional PCMs. We attribute this enhanced amorphous stability to the structurally complex nuclei required to render crystallization possible. Overall, we regard InGeTe3 as a balanced 2D PCM with both high thermal stability and large electrical contrast for embedded memory applications.

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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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