铁电场效应管捕获关键行为的综合模型:可扩展性、变化性、随机性和累积性

Shan Deng, Guodong Yin, W. Chakraborty, S. Dutta, S. Datta, Xueqing Li, K. Ni
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引用次数: 47

摘要

在这项工作中,我们开发了一个全面的铁电场效应管(FeFET)模型,它可以捕获所有基本的铁电行为。与以前的模型不同,该模型只能描述一部分而不是所有的铁电行为,该模型可以:i)预测具有几何缩放的器件性能;Ii)通过设备缩放量化设备间的差异;Iii)在单域切换过程中表现出随机性;iv)通过应用脉冲序列捕获域切换概率的积累。这个全面的模型将使研究人员能够探索广泛的FeFET应用,并指导器件开发、优化和基准测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Model for Ferroelectric FET Capturing the Key Behaviors: Scalability, Variation, Stochasticity, and Accumulation
In this work, we developed a comprehensive model for ferroelectric FET (FeFET), which can capture all the essential ferroelectric behaviors. Unlike previous models, which can describe only a subset but not all the reported ferroelectric behaviors, the proposed model can: i) predict device performance with geometry scaling; ii) quantify the device-to-device variation with device scaling; iii) exhibit stochasticity during a single domain switching; and iv) capture the accumulation of domain switching probability with applied pulse trains. This comprehensive model would enable researchers to explore a wide range of FeFET applications and guide device development, optimization and benchmarking.
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