標題: | 複晶矽薄膜電晶體在高電場效應下之電性分析與模型建立 Analysis and modeling of the high electric field effect in polycrystalline silicon TFTs |
作者: | 楊凱傑 Kai-Chieh Yang 冉曉雯 Hsiao-Wen Zan 光電工程學系 |
關鍵字: | 複晶矽薄膜電晶體;高電場效應;polycrystalline silicon TFTs;high electric field effect |
公開日期: | 2004 |
摘要: | 在此論文中,我們研究了多晶矽電晶體中的電流扭結現象並且建立了從漏電區,次臨界區,線性區到飽和區等一系列的模型。首先,從利用不同製程的薄膜條件和操作環境,我們發現倍增率和臨界能量與薄膜品質是強相關。因此,我們考慮缺限的分佈來修正了臨界能量,並將它導入我們所推導出已經包含了汲極致使能障下降效應的導通區電流。至於缺限分佈, 我們乃是用計算所得與實際量測的活化能比較所得。接著,一個可以正確表達急速導通現象的物理模型被發展出。考慮缺限相關的表面位能和寄生BJT效應,基板電壓可被正確的模擬。最後,我們將一經驗電場代入SRH產生-復合關係式中,並且考慮缺限態之分佈,可以得到一新的漏電流模型。此模型可以大量減少人造參數並給予正確的物理概念。 In this thesis, we investigated the current kink phenomenon in polysilicon thin-film transistors and built a series of models from turn-off, subthreshold, linear to the saturation regime. Firstly, through utilizing the samples from different process and operation condition we find that the multiplication factor and threshold energy are strongly related to the film quality (or trap density). Therefore, we modified the threshold energy by the trap state distribution and combined it into our above threshold current model which already includes the drain induced barrier lowering effect. As to the trap state distribution was obtained from a computer minimization method that is based on field-effect conductance measurements. Secondly, a physically based numerical simulation that accurately models the abruptly switch-on behavior of n-type poly-Silicon thin-film transistor (TFT) has been developed. Considering both the trap dependent surface electrostatic potential model and the parasitic BJT effect correlated with floating body potential, the abnormal subthreshold swing at high drain bias in short channel devices can be modeled successfully. Based on this model, body voltage can be raised even by the diffusion current under lower gate bias. Finally, the new leakage current model of Poly-Si thin-film transistor had been proposed. We introduced an empirical electrical field and the defect state distribution in the traditional leakage current model which is based on SRH generation-recombination model. This model could reduce fitting parameters dramatically and enhance the insight of physics. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT009224579 http://hdl.handle.net/11536/76773 |
Appears in Collections: | Thesis |
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