A Finite Element Model for Stochastic Set Operation in Phase-Change Memory

被引:1
作者
Shin, Min-Kyu [1 ]
Lee, Donghwa [2 ]
Cha, Pil-Ryung [3 ]
Kwon, Yongwoo [1 ]
机构
[1] Hongik Univ, Dept Mat Sci & Engn, Seoul, South Korea
[2] Pohang Univ Sci & Technol, Dept Mat Sci & Engn, Seoul, South Korea
[3] Kookmin Univ, Sch Mat Sci & Engn, Seoul 02707, South Korea
来源
2019 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC) | 2019年
基金
新加坡国家研究基金会;
关键词
modeling and simulation; finite-element method; phase-change memory; crystallization; nucleation and growth; DATA RETENTION; STATISTICS;
D O I
10.23919/elinfocom.2019.8706407
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We successfully combined electrothermal and phase-field models in a finite element framework to establish a device model for set operation in phase-change memory. The electrothermal model calculates current density, Joule heating and heat transfer, and the resulting temperature profile from bias conditions while the phase-field model calculates thermal history dependent phase-change such as melt-quench and stochastic nucleation followed by growth. In this work, we will discuss capabilities of our model and its applications to set pulse design and intrinsic variability analysis.
引用
收藏
页码:294 / 295
页数:2
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