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Characterization of self-heating leads to universal scaling of HCI degradation of multi-fin SOI FinFETs

机译:自热的特性导致普遍发展的多鳍片SOI FinFET的HCI降级

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SOI FinFETs and other Gate-all-around (GAA) transistors topologies have excellent 3-D electrostatic control and therefore, have been suggested as potential technology options for sub-14 nm technology nodes. Unfortunately, the narrow gate geometry and reduced gate pitch suppress heat dissipation and increase thermal cross-talk, leading to severe self-heating of these transistors. Self-heating degrades performance and makes the classical reliability theories based on TL~Tsub irrelevant. In this paper, first, we propose a physics-based thermal circuit compact model for multi-fin SOI FinFETs to characterize self-heating and validate the results by AC conductance method. Next, we analyze HCI degradation varying with the number of fin (Nfin), chuck temperature (Tsub) and AC frequency (f). The results show that HCI degradation dependent variables (NFIN, Tsub, f) can be correlated to the lattice temperature (TL = g(NFIN, Tsub, f)) and obey the universal degradation curve (ΔVth(TL) = f(S(TL) × t)). Si-O bond-dispersion model explains the universal curve; therefore, the model can be used for a long term reliability projection with arbitrary combination Nfin, Tsub, f, etc.
机译:SOI FinFET和其他全栅(GAA)晶体管拓扑具有出色的3D静电控制能力,因此被建议作为14纳米以下技术节点的潜在技术选择。不幸的是,狭窄的栅极几何形状和减小的栅极间距抑制了散热并增加了热串扰,导致这些晶体管严重的自发热。自加热会降低性能,并使基于TL〜Tsub的经典可靠性理论变得无关紧要。在本文中,首先,我们为多鳍SOI FinFET提出了基于物理的热电路紧凑模型,以表征自发热并通过交流电导率方法验证结果。接下来,我们分析HCI的降解随翅片数(Nfin),卡盘温度(Tsub)和交流频率(f)的变化而变化。结果表明,HCl降解相关变量(NFIN,Tsub,f)可以与晶格温度(TL = g(NFIN,Tsub,f))相关并服从通用降解曲线(ΔVth(TL)= f(S( TL)×t))。 Si-O键-分散模型解释了通用曲线;因此,该模型可用于Nfin,Tsub,f等任意组合的长期可靠性预测。

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