深亚微米硅mosfet中热电子注入和界面态生成的标度研究:蒙特卡罗分析

J. Ellis-Monaghan, R. Hulfachor, K.W. Kim, M. Littlejohn
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引用次数: 1

摘要

本研究中采用的模拟模型包括一种先进的集合蒙特卡罗方法,该方法结合了来自伪势计算的两个传导能带,以及界面状态生成模型。已经证明,这种耦合处理可以准确地计算界面状态生成,并且在长通道(l-pm)器件中模拟结果与测量数据之间取得了良好的总体一致性[1]。使用相同的方法,我们探索了由两种广泛使用的器件缩放方法驱动的电源电压的含义:恒定场缩放[2]和更广义的缩放[3]。在整个研究过程中,设备在Vds=2Vgs下承受120秒的压力。对于恒定场缩放,我们发现模拟的电子注入速率从0.33引脚Vd =3.3 V的峰值电子注入位置的6.4 × 102’/cm2sec下降到0.12引脚Vd =1.2 V的峰值电子注入位置的2.4 × 10’/cm2sec。这对应于0.33 pm和0.12 pm器件的预测峰值界面状态密度分别为7x10“/cm2eV和4.3x10”/cm2eV。这种下降似乎主要是由于侧场的减小引起的(“恒定”侧场方法将这些短通道器件的峰值电场从170 kV/cm降低到150 kV/cm)。另一方面,峰值平均电子能量从0.33 pm器件的2.2 eV显著降低到0.12引脚器件的1.3 eV。当采用广义标度方案时,模拟电子注入和界面状态生成速率显著增加,从相同的0.33 pm器件(Vh=3.3 V)的界面状态生成密度为7x10“/cm2eV,到0.12 pm器件(Vd =2.25 V)的界面状态生成密度为9.2x10”/cm2eV。0.12 pm器件对应的峰值电子注入速率为1.1 x10oz2 /cm2sec。对于广义缩放方案,随着器件尺寸的减小,峰值横向电场从170 kV/cm增加到240 kV/cm。在平均电子能量中可以清楚地看到供电电压降低的影响。pe’ak电子注入位置的平均能量显著降低,从0.33 pm器件的2.2 eV降至0.12 pm器件的1.5 eV。因此,电子能量分布似乎具有强烈的非线性特征。当平均能量随电源电压的减小而减小时,分布回路高能尾部的电子由于峰值电场的增大而增强(即长尾)。这两种标度方法的结果证明了热电子降解在工作在低于3v电源水平的深亚微米mosfet中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scaling studies of hot electron injection and interface-state generation in deep-submicron silicon mosfets: a monte carlo analysis
The simulation model employed in this study consists of an advanced ensemble Monte Carlo method, that incorporates two conduction energy bands from pseudopotential calculations, coupled with an interface-state genemtion model. It has been demonstrated that this coupled treatment can calculate interface-state generation with accuracy and a good overall agreement has been achieved between the simulated results and measured data in longchannel (l-pm) devices [ I]. Using the same methodology, we explored the implications of power-supply voltages driven by two widely used device-scaling approaches: constant field scaling [2] 'and a more generalized scaling [3]. Throughout this study, the devices are stressed for 120 seconds at Vds=2Vgs. For constant field scaling, we found that the simulated electron injection rates decreased from 6.4x102'/cm2sec at the location of peak electron injection for a 0.33-pin device with Vd,=3.3 V, to 2.4x10"/cm2sec for a 0.12-pin device with Vd,=1.2 V. This corresponds to a predicted peak interface-state density of 7x10"/cm2eV and 4.3x10"/cm2eV for the 0.33-pm and 0.12-pm device, respectively. This decrease seems to be caused mainly by the reduced lateral field, (The "constant" lateral field methodology reduces the peak electric field from 170 kV/cm to 150 kV/cm for these short-channel devices.) On the other hand, the peak average electron energy is significantly reduced from 2.2 eV for the 0.33-pm device to 1.3 eV for the 0.12-pin device. When the generalized scaling scheme was applied, the simulated electron injection and interface-state generation rates increased considerably, from an interface-state generation density of 7x10"/cm2eV for the same 0.33-pm device with Vh=3.3 V, to 9.2x10"/cm2eV for a 0.12-pm device with Vd,=2.25 V. The corresponding peak electron injection rate for the 0.12-pm device was 1.1x1OZ2/cm2sec. For the generalized scaling scheme, the peak lateral field increased from 170 kV/cm to 240 kV/cm as the devices scaled down. The effect of power-supplyvoltage reduction was clearly seen in the average electron energy. The average energy at the location of pe'ak electron injection was significantly reduced, from 2.2 eV for the 0.33-pm device to 1.5 eV for the 0.12-pm device. Thus, the electron energy distribution appears to have strongly non-linear characteristics. While the average energy scales down with the power-supply voltage, the electrons in the high-energy tail of the distribution ciui bc enhanced (i.e., a longer tail) by the large peak electric field. These results for the two scaling approaches demonstrate the importance of hot electron degradation in deep-submicron MOSFETS operating below the 3 V power supply level.
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