纤锌矿晶体结构
三元运算
格子(音乐)
极化(电化学)
半导体
纳米技术
计算
材料科学
工程物理
光电子学
计算机科学
化学
物理
冶金
锌
算法
物理化学
程序设计语言
声学
作者
Cheng‐Wei Lee,Naseem Ud Din,Keisuke Yazawa,Geoffrey L. Brennecka,Andriy Zakutayev,Prashun Gorai
出处
期刊:Matter
[Elsevier BV]
日期:2024-02-29
卷期号:7 (4): 1644-1659
被引量:6
标识
DOI:10.1016/j.matt.2024.02.001
摘要
Low-energy compute-in-memory architectures promise to reduce the energy demand for computation and data storage. Wurtzite-type ferroelectrics are promising options for both performance and integration with existing semiconductor processes. The Al1-xScxN alloy is among the few tetrahedral materials that exhibit polarization switching, but the electric field required to switch the polarization is too high (few MV/cm). Going beyond binary compounds, we explore the search space of multinary wurtzite-type compounds. Through this large-scale search, we identify four promising ternary nitrides and oxides, including Mg2PN3, MgSiN2, Li2SiO3, and Li2GeO3, for future experimental realization and engineering. In > 90% of the considered multinary materials, we identify unique switching pathways and non-polar structures that are distinct from the commonly assumed switching mechanism in AlN-based materials. Our results disprove the existing design principle based on the reduction of the wurtzite c/a lattice parameter ratio when comparing different chemistries while supporting two emerging design principles—ionicity and bond strength.
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