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Adaptive accelerated aging for 28 nm HKMG technology

机译:适用于28 nm HKMG技术的自适应加速老化

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Reliability modeling and analysis today lacks a robust method to directly validate the lifetime of devices and circuits. As aging mechanisms are usually gradual, i.e., a slow process, conventional aging analysis relies on the extrapolation from a short-term measurement, resulting in unreliable prediction of End of Life (EOL). Such situations are exacerbated at scaled technology nodes at high temperatures where Bias Temperature Instability (BTI), a more gradual and stochastic mechanism, dominates aging compared to Hot Carrier Injection (HCI). To improve the robustness of aging modeling, this work proposes a new approach to adaptively stress the device to EOL in an accelerated and controllable manner. It enables us to monitor the entire process of degradation and validate related analysis tools. The contributions of this paper include: (1) development of a closed-loop test methodology, Adaptive Accelerated Aging (AAA), that effectively accelerates the degradation, (2) application of AAA on 28 nm high-k/metal gate (HKMG) devices, proving the feasibility of controllable stress to EOL within 1 h, and (3) demonstration of AAA at the circuit level using ring oscillators (ROs).
机译:如今,可靠性建模和分析缺乏可靠的方法来直接验证设备和电路的寿命。由于老化机制通常是渐进的,即过程缓慢,因此常规的老化分析依赖于短期测量的推断,导致寿命终止(EOL)的预测不可靠。在高温条件下,随着技术规模的扩大,这种情况变得更加严重,与热载流子注入(HCI)相比,偏置温度不稳定性(BTI)这种更为渐进和随机的机制主导了老化。为了提高老化模型的鲁棒性,这项工作提出了一种新方法,以加速和可控制的方式自适应地使设备承受EOL压力。它使我们能够监控整个降解过程并验证相关的分析工具。本文的贡献包括:(1)开发一种可有效加速降解的闭环测试方法-自适应加速老化(AAA),(2)在28 nm高k /金属栅极(HKMG)上应用AAA器件,证明了在1小时内可控制EOL应力的可行性,以及(3)使用环形振荡器(RO)在电路级演示AAA。

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