一种采用局域注氧技术制备的新型DSOI器件

为了克服传统SOI器件的浮体效应和自热效应,采用创新的工艺方法将低剂量局域SIMOX工艺及传统的CMOS工艺结合,实现了DSOI结构的器件.测试结果表明,该器件消除了传统SOI器件的浮体效应,同时自热效应得到很大的改善,提高了可靠性和稳定性.而原先SOI器件具备的优点得到了保留     

SOI技术问题和BSIM3SOIv1.3模型参数特点

SOI器件具有高速、低压、低功耗、抗辐照、耐高温等体硅器件不具备的优点,SOI CMOS技术开始用于深亚微米高速、低功耗、低电压大规模集成电路应用。但SOI技术还面临浮体效应、自加热效应等问题的挑战。作为SOI模型国际标准,BSIM3SOIv1.3提出了新的模型参数解决方案。BSIMPDSPICE器件模型是基于物理意义的模型,是在体硅MOS器件模型工业标准(BSIM3V3)的基础上开发而成,BSIMPD针对SOI固有的浮体效应引起的动态特性,自加热和体接触提出相应的模型参数。     

SOI器件中瞬态浮体效应的模拟与分析

针对SOI器件中的瞬态浮体效应进行了一系列的数值模拟,通过改变器件参数,比较系统地考察了SOI器件中瞬态浮体效应,同时也研究和分析了瞬态浮体效应对CMOS/SOI电路(以环振电路为例)的影响,并提出了抑制器件浮体效应的器件结构和参数优化设计.     

SOI器件中瞬态浮体效应的模拟与分析

针对 SOI器件中的瞬态浮体效应进行了一系列的数值模拟 ,通过改变器件参数 ,比较系统地考察了 SOI器件中瞬态浮体效应 ,同时也研究和分析了瞬态浮体效应对 CMOS/SOI电路 (以环振电路为例 )的影响 ,并提出了抑制器件浮体效应的器件结构和参数优化设计 .     

0.5μm SOI CMOS工艺开发与器件建模

对0.5 μm SOI CMOS工艺进行了开发,得到一套完整良好的工艺流程参数.根据流片测试结果,进行SOI CMOS器件的建模;利用BSIMproPlus软件中的BSIMSOI MOS模型,根据MOS管宽长比进行器件分类和建模,得到模型参数.对于部分耗尽SOI器件的固有浮体效应和kink效应,采用体接触方法来缓解其负...     

部分耗尽型SOI CMOS模拟电路设计研究

介绍了部分耗尽型SOI MOS器件浮体状态下的Kink效应及对模拟电路的影响.阐述了4种常用体接触方式及其他消除部分耗尽型SOI MOS器件Kink效应的工艺方法,同时给出了部分耗尽型SOIMOSFET工作在浮体状态下时模拟电路的设计方法.     

新型图形化SOI LDMOS结构的性能分析

提出一种图形化SOI LDMOSFET结构,埋氧层在器件沟道下方是断开的,只存在于源区和漏区.数值模拟结果表明,相对于无体连接的SOI器件,此结构的关态和开态击穿电压可分别提高57%和70%,跨导平滑,开态 I-V 曲线没有翘曲现象,器件温度低100K左右,同时此结构还具有低的泄漏电流和输出电容.沟道下方开硅窗口可明显抑制SOI器件的浮体效应和自加热效应.此结构具有提高SOI功率器件性能和稳定性的开发潜力.     

新型图形化 SOI LDMOS结构的性能分析

提出一种图形化SOILDMOSFET结构,埋氧层在器件沟道下方是断开的,只存在于源区和漏区.数值模拟结果表明,相对于无体连接的SOI器件,此结构的关态和开态击穿电压可分别提高57%和70%,跨导平滑,开态I-V曲线没有翘曲现象,器件温度低100K左右,同时此结构还具有低的泄漏电流和输出电容.沟道下方开硅窗口可明显抑制SOI器件的浮体效应和自加热效应.此结构具有提高SOI功率器件性能和稳定性的开发潜力.     

0.5μm SOI CMOS器件和电路

研究了0.5μm SOI CMOS器件和电路,开发出成套的0.5μm SOI CMOS工艺.经过工艺投片,获得了性能良好的器件和电路,其中当工作电压为3V时,0.5μm 101级环振单级延迟为42ps.同时,对部分耗尽SOI器件特性,如“浮体”效应、“kink”效应和反常亚阈值特性进行了讨论.     

0.5μm SOI CMOS器件和电路

研究了 0 .5μm SOI CMOS器件和电路 ,开发出成套的 0 .5μm SOI CMOS工艺 .经过工艺投片 ,获得了性能良好的器件和电路 ,其中当工作电压为 3V时 ,0 .5μm 10 1级环振单级延迟为 42 ps.同时 ,对部分耗尽 SOI器件特性 ,如“浮体”效应、“kink”效应和反常亚阈值特性进行了讨论     

Off-state modulation of SOI floating-body

Off-state modulation of the floating-body potential in partially depleted silicon-on-insulator (PDSOI) transistors from the 90-nm technology generation is observed using pulsed current-voltage (I-V) measurements. Varying the off-value of the gate voltage is shown to either decrease the transient on-current (I/sub on,trans/) of PDSOI devices through gate-to-body leakage or increase I/sub on,trans/ due to gate-induced drain leakage. Dependence of I/sub on,trans/ on off-state gate bias is not observed in bulk devices, PDSOI devices with body contacts, or fully depleted SOI devices, confirming the role of floating-body in the observed effects. Thus, off-state conditions should be accounted for when considering floating-body effects and when using pulsed I-V measurements to study self-heating.     

采用局域注氧技术制备的新型DSOI场效应晶体管的热特性

通过局域注氧工艺,在同一管芯上制作了DSOI、体硅和SOI三种结构的器件.通过测量和模拟比较了这三种结构器件的热特性.模拟和测量的结果证明DSOI器件与SOI器件相比,具有衬底热阻较低的优点,因而DSOI器件在保持SOI器件电学特性优势的同时消除了SOI器件严重的自热效应.DSOI器件的衬底热阻和体硅器件非常接近,并且在进入到深亚微米领域以后能够继续保持这一优势.     

Scaling constraints imposed by self-heating in submicron SOIMOSFET's

The presence of a buried oxide layer in silicon causes enhanced self-heating in Silicon-On-Insulator (SOI) n-channel MOSFETs. The self-heating becomes more pronounced as device dimensions are reduced into the submicron regime because of increased electric field density and reduced silicon volume available for heat removal. Two-dimensional numerical simulations are used to show that self-heating manifests itself in the form of degraded drive current due to mobility reduction and premature breakdown. The heat flow equation was consistently solved with the classical semiconductor equations to study the effect of power dissipation on carrier transport. The simulated temperature increases in the channel region are shown to be in close agreement with recently measured data. Numerical simulation results also demonstrated accelerated turn-on of the parasitic bipolar transistor due to self-heating. Simulation results were used to identify scaling constraints caused by the parasitic bipolar transistor turn-on effect in SOI CMOS ULSI. For a quarter-micron n-channel SOI MOSFET, results suggest a maximum power supply of 1.8 V. In the deep submicron regime, SOI devices exhibited a negative differential resistance due to increased self-heating with drain bias voltage. Detailed comparison with bulk devices suggested significant reduction in the drain-source avalanche breakdown voltage due to increased carrier injection at the source-body junction     

Physical modeling of temperature dependences of SOI CMOS devicesand circuits including self-heating

To simulate and examine temperature and self-heating effects in Silicon-On-Insulator (SOI) devices and circuits, a physical temperature-dependence model is implemented into the SOISPICE fully depleted (FD) and nonfully depleted (NFD) SOI MOSFET models. Due to the physical nature of the device models, the temperature-dependence modeling, which enables a device self-heating option as well, is straightforward and requires no new parameters. The modeling is verified by DC and transient measurements of scaled test devices, and in the process physical insight on floating-body effects in temperature is attained. The utility of the modeling is exemplified with a study of the temperature and self-heating effects in an SOI CMOS NAND ring oscillator. SOISPICE transient simulations of the circuit, with floating and tied bodies, reveal how speed and power depend on ambient temperature, and they predict no significant dynamic self-heating, irrespective of the ambient temperature     

An SOI-DRAM with wide operating voltage range by CMOS/SIMOXtechnology

An SOI-DRAM test device (64-Kb scale) with 100-nm-thick SOI film has been fabricated in 0.5-μm CMOS/SIMOX technology and the basic DRAM function has been successfully observed. A partially depleted transistor was used to solve the floating-body effect, resulting in improved operation. The newly introduced body-synchronized sensing scheme enhances the lower Vcc margin. The p-n junction capacitance between source/drain and a substrate for SOI structure is reduced by 25%. RAS access time tRAC is 70 ns with a 2.7-V power supply, which is as fast as the equivalent bulk-Si device with a 4-V power supply. The active current consumption is 1.1 mA (Vcc=3.0 V, 260-ns cycle) for this SOI-DRAM, which is a reduction of 65%, compared with 3.2 mA for the reference bulk-Si DRAM. The mean value of data retention time for this chip at 80°C is longer than 20 s (Vcc=3.3 V), which is the same value as mass-produced 16-Mb DRAM's. The SOI-DRAM has an operating Vcc range from 2.3 V to 4.0 V. The observed speed enhancement and the wide operating voltage range indicate high performance at the low voltage operation suitable for battery-operated DRAM's     

Effects of floating body on double polysilicon partially depleted SOI nonvolatile memory cell

The floating-body effect of nonvolatile memory cells fabricated using partially depleted silicon-on-insulator (SOI) technology has been investigated using two-dimensional numerical device simulation. Compared with similar bulk devices, the floating-body effect of partially depleted SOI MOSFETs introduces instability in the value of the drain current during sensing and extra hot-electron gate current in programming. The effects of the drain-current instability on the error margins in read operation are studied. The floating-body effect is found to be heavily dependent on biasing condition.     

Closed-form analytical drain current model considering energy transport and self-heating for short-channel fully-depleted SOI NMOS devices with lightly-doped drain structure biased in strong inversion

This paper reports a closed-form analytical drain current model considering energy transport and self-heating for short-channel fully-depleted (FD) SOI NMOS devices with lightly-doped drain (LDD) structure. As verified by the two-dimensional (2-D) simulation results, the analytical drain current model considering energy transport and self-heating provides an accurate prediction of the drain current behavior of the 0.25-/spl mu/m FD SOI NMOS device with and without an LDD structure. From the analytical model, with the LDD structure, the device has a smaller effective electron mobility at a low drain voltage, where lattice temperature is dominant, and a higher effective mobility at a high drain voltage, where electron temperature dominates, as compared to the non-LDD device.     

Reduction of self-heating effect on SOIM devices

The silicon-on-insulator (SOI) power devices have an inherent self-heating effect, which limits their operation at high current levels. This is a consequence of the very low thermal conductivity of the thick buried oxide layer. A novel solution to reduce the self-heating effect is proposed in this paper, based on silicon-over-insulator-multilayer (SOIM) emerging technology. A significant reduction of the insulator layer thermal resistance is achieved while keeping constant the electrical behaviour of integrated power devices in comparison to the conventional SOI counterparts. The effectiveness of the proposed solution has been corroborated with numerical simulations. Moreover, no additional steps in fabrication processes are required with regard to the conventional SOI technology.     

Minimizing floating-body-induced threshold voltage variation inpartially depleted SOI CMOS

Pulse propagation problems associated with dynamic floating-body effects, e.g., pulse stretching, is measured in partially depleted SOI CMOS inverter chains. Pulse stretching is found to be dependent on pulse frequency and V_DD. Such behavior is attributed to floating-body-induced transient threshold voltage variation in partially depleted SOI CMOS devices due to floating-body charge imbalance between logic states during CMOS switching. Such an imbalance can be minimized through proper device design because of the different dependencies of the gate and drain depletion charges on channel length, silicon film thickness, gate oxide thickness, channel doping, and supply voltage. This is confirmed by measuring the maximum transient threshold voltage variation in discrete partially depleted SOI NMOS devices in configurations which are predictive of CMOS switching behavior