哈夫尼亚
透视图(图形)
斯科普斯
缩放比例
计算机科学
工程物理
纳米技术
工程类
材料科学
政治学
数学
人工智能
立方氧化锆
几何学
陶瓷
复合材料
法学
梅德林
出处
期刊:Matter
[Elsevier]
日期:2023-08-01
卷期号:6 (8): 2586-2589
标识
DOI:10.1016/j.matt.2023.06.031
摘要
Hafnia-based ferroelectrics offer exciting potential for applications in both computer logic and memory, with the corresponding direct improvement in computational performance. This preview aims to introduce and share this exponentially growing excitement to the wider community, by highlighting the recent review by Park et al. 1 Park J.Y. Lee D.H. Park G.H. Lee J. Lee Y. Park M.H. A perspective on the physical scaling down of hafnia-based ferroelectrics. Nanotechnology. 2023; 34: 202001 Crossref Scopus (3) Google Scholar Hafnia-based ferroelectrics offer exciting potential for applications in both computer logic and memory, with the corresponding direct improvement in computational performance. This preview aims to introduce and share this exponentially growing excitement to the wider community, by highlighting the recent review by Park et al. 1 Park J.Y. Lee D.H. Park G.H. Lee J. Lee Y. Park M.H. A perspective on the physical scaling down of hafnia-based ferroelectrics. Nanotechnology. 2023; 34: 202001 Crossref Scopus (3) Google Scholar
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