• Title/Summary/Keyword: Bias Temperature Instability

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Improvement of Negative Bias Temperature Instability by Decoupled Plasma Nitridation Process (Decoupled Plasma Nitridation 공정 적용을 통한 Negative Bias Temperature Instability 특성 개선)

  • Park, Ho-Woo;Roh, Yong-Han
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.18 no.10
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    • pp.883-890
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    • 2005
  • In this paper, the established model of NBTI (Negative Bias Temperature Instability) mechanism was reviewed. Based on this mechanism, then, the influence of nitrogen was discussed among other processes. A constant concentration of nitrogen exists inside $SiO_2$ in order to prevent boron from diffusing and to increase dielectric constant. It was shown that NBTI improvement was achieved by controlling nitrogen profile. It was supposed that the existence of low activation energy of Si-N bonds at $Si-SiO_2$ interface attributes the improvement by making hydrogen prevent interface traps. It was also shown that improvement of NBTI can be achieved by more effective control of nitrogen profile. It was supposed that the maximum control of nitrogen profile can be achieved by DPN (Decoupled Plasma Nitridation) process.

Impact Analysis of NBTI/PBTI on SRAM VMIN and Design Techniques for Improved SRAM VMIN

  • Kim, Tony Tae-Hyoung;Kong, Zhi Hui
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.13 no.2
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    • pp.87-97
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    • 2013
  • Negative bias temperature instability (NBTI) and positive bias temperature instability (PBTI) are critical circuit reliability issues in highly scaled CMOS technologies. In this paper, we analyze the impacts of NBTI and PBTI on SRAM $V_{MIN}$, and present a design solution for mitigating the impact of NBTI and PBTI on SRAM $V_{MIN}$. Two different types of SRAM $V_{MIN}$ (SNM-limited $V_{MIN}$ and time-limited $V_{MIN}$) are explained. Simulation results show that SNM-limited $V_{MIN}$ is more sensitive to NBTI while time-limited $V_{MIN}$ is more prone to suffer from PBTI effect. The proposed NBTI/PBTI-aware control of wordline pulse width and woldline voltage improves cell stability, and mitigates the $V_{MIN}$ degradation induced by NBTI/PBTI.

Analysis of Positive Bias Temperature Instability Degradation Mechanism in n+ and p+ poly-Si Gates of High-Voltage SiO2 Dielectric nMOSFETs (고전압 SiO2 절연층 nMOSFET n+ 및 p+ poly Si 게이트에서의 Positive Bias Temperature Instability 열화 메커니즘 분석)

  • Yeohyeok Yun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.4
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    • pp.180-186
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    • 2023
  • Positive bias temperature instability (PBTI) degradation of n+ and p+ poly-Si gate high-voltage(HV) SiO2 dielectric nMOSFETs was investigated. Unlike the expectation that degradation of n+/nMOSFET will be greater than p+/nMOSFET owing to the oxide electric field caused by the gate material difference, the magnitude of the PBTI degradation was greater for the p+/nMOSFET than for the n+/nMOSFET. To analyze the cause, the interface state and oxide charge were extracted for each case, respectively. Also, the carrier injection and trapping mechanism were analyzed using the carrier separation method. As a result, it has been verified that hole injection and trapping by the p+ poly-Si gate accelerates the degradation of p+/nMOSFET. The carrier injection and trapping processes of the n+ and p+ poly-Si gate high-voltage nMOSFETs in PBTI are detailed in this paper.

Machine Learning Model for Low Frequency Noise and Bias Temperature Instability (저주파 노이즈와 BTI의 머신 러닝 모델)

  • Kim, Yongwoo;Lee, Jonghwan
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.4
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    • pp.88-93
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    • 2020
  • Based on the capture-emission energy (CEE) maps of CMOS devices, a physics-informed machine learning model for the bias temperature instability (BTI)-induced threshold voltage shifts and low frequency noise is presented. In order to incorporate physics theories into the machine learning model, the integration of artificial neural network (IANN) is employed for the computation of the threshold voltage shifts and low frequency noise. The model combines the computational efficiency of IANN with the optimal estimation of Gaussian mixture model (GMM) with soft clustering. It enables full lifetime prediction of BTI under various stress and recovery conditions and provides accurate prediction of the dynamic behavior of the original measured data.

Impact of Post Gate Oxidation Anneal on Negative Bias Temperature Instability of Deep Submicron PMOSFETs (게이트 산화막 어닐링을 이용한 서브 마이크론 PMOS 트랜지스터의 NBTI 향상)

  • 김영민
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.16 no.3
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    • pp.181-185
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    • 2003
  • Influence of post gate oxidation anneal on Negative Bias Temperature Instability (NBTI) of PMOSFE has been investigated. At oxidation anneal temperature raised above 950$^{\circ}$C, a significant improvement of NBTI was observed which enables to reduce PMO V$\_$th/ shift occurred during a Bias Temperature (BT) stress. The high temperature anneal appears to suppress charge generations inside the gate oxide and near the silicon oxide interface during the BT stress. By measuring band-to-band tunneling currents and subthreshold slopes, reduction of oxide trapped charges and interface states at the high temperature oxidation anneal was confirmed.

Influence of Channel Thickness Variation on Temperature and Bias Induced Stress Instability of Amorphous SiInZnO Thin Film Transistors

  • Lee, Byeong Hyeon;Lee, Sang Yeol
    • Transactions on Electrical and Electronic Materials
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    • v.18 no.1
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    • pp.51-54
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    • 2017
  • TFTs (thin film transistors) were fabricated using a-SIZO (amorphous silicon-indium-zinc-oxide) channel by RF (radio frequency) magnetron sputtering at room temperature. We report the influence of various channel thickness on the electrical performances of a-SIZO TFTs and their stability, using TS (temperature stress) and NBTS (negative bias temperature stress). Channel thickness was controlled by changing the deposition time. As the channel thickness increased, the threshold voltage ($V_{TH}$) of a-SIZO changed to the negative direction, from 1.3 to -2.4 V. This is mainly due to the increase of carrier concentration. During TS and NBTS, the threshold voltage shift (${\Delta}V_{TH}$) increased steadily, with increasing channel thickness. These results can be explained by the total trap density ($N_T$) increase due to the increase of bulk trap density ($N_{Bulk}$) in a-SIZO channel layer.

Reliability Analysis for Deuterium Incorporated Gate Oxide Film through Negative-bias Temperature Instability and Hot-carrier Injection (Negative-bias Temperature Instability 및 Hot-carrier Injection을 통한 중수소 주입된 게이트 산화막의 신뢰성 분석)

  • Lee, Jae-Sung
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.21 no.8
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    • pp.687-694
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    • 2008
  • This paper is focused on the improvement of MOS device reliability related to deuterium process. The injection of deuterium into the gate oxide film was achieved through two kind of method, high-pressure annealing and low-energy implantation at the back-end of line, for the purpose of the passivation of dangling bonds at $SiO_2/Si$ interface. Experimental results are presented for the degradation of 3-nm-thick gate oxide ($SiO_2$) under both negative-bias temperature instability (NBTI) and hot-carrier injection (HCI) stresses using P and NMOSFETs. Annealing process was rather difficult to control the concentration of deuterium. Because when the concentration of deuterium is redundant in gate oxide excess traps are generated and degrades the performance, we found annealing process did not show the improved characteristics in device reliability, compared to conventional process. However, deuterium ion implantation at the back-end process was effective method for the fabrication of the deuterated gate oxide. Device parameter variations under the electrical stresses depend on the deuterium concentration and are improved by low-energy deuterium implantation, compared to conventional process. Our result suggests the novel method to incorporate deuterium in the MOS structure for the reliability.

Silicon Thin-Film Transistors on Flexible Polymer Foil Substrates

  • Cheng, I-Chun;Chen, Jian Z.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.1455-1458
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    • 2008
  • Amorphous silicon (a-Si:H) thin-film transistors (TFTs) are fabricated on flexible organic polymer foil substrates. As-fabricated performance, electrical bias-stability at elevated temperatures, electrical response under mechanical flexing, and prolonged mechanical stability of the TFTs are studied. TFTs made on plastic at ultra low process temperatures of $150^{\circ}C$ show initial electrical performance like TFTs made on glass but large gate-bias stress instability. An abnormal saturation of the instability against operation temperature is observed.

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A Study on Negative Bias Temperature Instability in ELA Based Low-Temperature polycrystalline Silicon Thin-Film Transistors

  • Im, Kiju;Choi, Byoung-Deog;Hyang, Park-Hye;Lee, Yun-Gyu;Yang, Hui-won;Kim, Hye-Dong
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08b
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    • pp.1075-1078
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    • 2007
  • Negative Bias Temperature Instability (NBTI) in Eximer Laser Annealing (ELA) based Low Temperature polysilicon (LTPS) Thin-Film Transistors (TFT) was investigated. Even though NBTI is generally appeared in devices with thin gate oxide, the TFT with gate oxide thickness of 120 nm, relatively thick, also showed NBTI effect and dynamic NBTI effect is dependent on operational frequency.

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Comparative investigation of endurance and bias temperature instability characteristics in metal-Al2O3-nitride-oxide-semiconductor (MANOS) and semiconductor-oxide-nitride-oxide-semiconductor (SONOS) charge trap flash memory

  • Kim, Dae Hwan;Park, Sungwook;Seo, Yujeong;Kim, Tae Geun;Kim, Dong Myong;Cho, Il Hwan
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.12 no.4
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    • pp.449-457
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    • 2012
  • The program/erase (P/E) cyclic endurances including bias temperature instability (BTI) behaviors of Metal-$Al_2O_3$-Nitride-Oxide-Semiconductor (MANOS) memories are investigated in comparison with those of Semiconductor-Oxide-Nitride-Oxide-Semiconductor (SONOS) memories. In terms of BTI behaviors, the SONOS power-law exponent n is ~0.3 independent of the P/E cycle and the temperature in the case of programmed cell, and 0.36~0.66 sensitive to the temperature in case of erased cell. Physical mechanisms are observed with thermally activated $h^*$ diffusion-induced Si/$SiO_2$ interface trap ($N_{IT}$) curing and Poole-Frenkel emission of holes trapped in border trap in the bottom oxide ($N_{OT}$). In terms of the BTI behavior in MANOS memory cells, the power-law exponent is n=0.4~0.9 in the programmed cell and n=0.65~1.2 in the erased cell, which means that the power law is strong function of the number of P/E cycles, not of the temperature. Related mechanism is can be explained by the competition between the cycle-induced degradation of P/E efficiency and the temperature-controlled $h^*$ diffusion followed by $N_{IT}$ passivation.