• Title/Summary/Keyword: PECVD $SiO_2$

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Improvement of the Light Emission Efficiency on Nonpolar a-plane GaN LEDs with SiO2 Current Blocking Layer (무분극 a-plane 질화물계 발광다이오드에서 SiO2 전류 제한 층을 통한 발광 효율 증가)

  • Hwang, Seong Joo;Kwak, Joon Seop
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.30 no.3
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    • pp.175-179
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    • 2017
  • In this study, we investigate the $SiO_2$ current blocking layer (CBL) to improve light output power efficiency in nonpolar a-plane (11-20) GaN LEDs on a r-plane sapphire substrate. The $SiO_2$ CBL was produced under the p-pad layer using plasma enhanced chemical vapor deposition (PECVD). The results show that nonpolar GaN LED light output power with the $SiO_2$ CBL is considerably enhanced compared without the $SiO_2$ CBL. This can be attributed to reduced light absorption at the p-pad due to current blocking to the active layer by the $SiO_2$ CBL.

Modeling of PECVD Oxide Film Properties Using Neural Networks (신경회로망을 이용한 PECVD 산화막의 특성 모형화)

  • Lee, Eun-Jin;Kim, Tae-Seon
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.23 no.11
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    • pp.831-836
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    • 2010
  • In this paper, Plasma Enhanced Chemical Vapor Deposition (PECVD) $SiO_2$ film properties are modeled using statistical analysis and neural networks. For systemic analysis, Box-Behnken's 3 factor design of experiments (DOE) with response surface method are used. For characterization, deposited film thickness and film stress are considered as film properties and three process input factors including plasma RF power, flow rate of $N_2O$ gas, and flow rate of 5% $SiH_4$ gas contained at $N_2$ gas are considered for modeling. For film thickness characterization, regression based model showed only 0.71% of root mean squared (RMS) error. Also, for film stress model case, both regression model and neural prediction model showed acceptable RMS error. For sensitivity analysis, compare to conventional fixed mid point based analysis, proposed sensitivity analysis for entire range of interest support more process information to optimize process recipes to satisfy specific film characteristic requirements.

Analysis of the Na Gettering in SiO2/PSG/SiO2/Al-1%Si and SiO2/TEOS/SiO2/Al-1%Si Multilevel Thin Films using SIMS (SIMS를 이용한 SiO2/PSG/SiO2/Al-1%Si 및 SiO2/TEOS/SiO2/Al-1%Si 적층 박막내의 Na 게터링 분석)

  • Kim, Jin Young
    • Journal of the Korean institute of surface engineering
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    • v.51 no.2
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    • pp.110-115
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    • 2018
  • The Na low temperature gettering in $SiO_2/PSG/SiO_2/Al-1%Si$ and $SiO_2/TEOS/SiO_2/Al-1%Si$ multilevel thin films was investigated using dynamic SIMS(secondary ion mass spectrometry) analysis. DC magnetron sputter, APCVD and PECVD techniques were utilized for the deposition of Al-1%Si thin films, $SiO_2/PSG/SiO_2$ and $SiO_2/TEOS/SiO_2$ passivations, respectively. Heat treatment was carried out at $300^{\circ}C$ for 5 h in air. SIMS depth profiling was used to determine the distribution of Na, Al, Si and other elements throughout the $SiO_2/PSG/SiO_2/Al-1%Si$ and $SiO_2/TEOS/SiO_2/Al-1%Si$ multilevel thin films. XPS was used to analyze chemical states of Si and O elements in $SiO_2$ passivation layers. Na peaks were observed throughout the $PSG/SiO_2$ and $TEOS/SiO_2$ passivation layers on the Al-1%Si thin films and especially at the interfaces. Na low temperature gettering in $SiO_2/PSG/SiO_2/Al-1%Si$ and $SiO_2/TEOS/SiO_2/Al-1%Si$ multilevel thin films is considered to be caused by a segregation type of gettering.

Synthesis of High-quality Graphene by Inductively-coupled Plasma-enhanced Chemical Vapor Deposition

  • Lam, Van Nang;Kumar, Challa Kiran;Park, Nam-Kyu;Arepalli, Vinaya Kumar;Kim, Eui-Tae
    • Proceedings of the Materials Research Society of Korea Conference
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    • 2011.10a
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    • pp.16.2-16.2
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    • 2011
  • Graphene has attracted significant attention due to its unique characteristics and promising nanoelectronic device applications. For practical device applications, it is essential to synthesize high-quality and large-area graphene films. Graphene has been synthesized by eloborated mechanical exfoliation of highly oriented pyrolytic graphite, chemical reduction of exfoliated grahene oxide, thermal decomposition of silicon carbide, and chemical vapor deposition (CVD) on metal substrates such as Ni, Cu, Ru etc. The CVD has advantages over some of other methods in terms of mass production on large-areas substrates and it can be easily separated from the metal substrate and transferred to other desired substrates. Especially, plasma-enhanced CVD (PECVD) can be very efficient to synthesize high-quality graphene. Little information is available on the synthesis of graphene by PECVD even though PECVD has been demonstrated to be successful in synthesizing various carbon nanostructures such as carbon nanotubes and nanosheets. In this study, we synthesized graphene on $Ni/SiO_2/Si$ and Cu plate substrates with CH4 diluted in $Ar/H_2$ (10%) by using an inductively-coupled PECVD (ICPCVD). High-quality graphene was synthesized at as low as $700^{\circ}C$ with 600 W of plasma power while graphene layer was not formed without plasma. The growth rate of graphene was so fast that graphene films fully covered on substrate surface just for few seconds $CH_4$ gas supply. The transferred graphene films on glass substrates has a transmittance at 550 nm is higher 94%, indicating 1~3 monolayers of graphene were formed. FETs based on the grapheme films transferred to $Si/SiO_2$ substrates revealed a p-type. We will further discuss the synthesis of graphene and doped graphene by ICPVCD and their characteristics.

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Modeling the Properties of the PECVD Silicon Dioxide Films Using Polynomial Neural Networks

  • Han, Seung-Soo;Song, Kyung-Bin
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.195-200
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    • 1998
  • Since the neural network was introduced, significant progress has been made on data handling and learning algorithms. Currently, the most popular learning algorithm in neural network training is feed forward error back-propagation (FFEBP) algorithm. Aside from the success of the FFEBP algorithm, polynomial neural networks (PNN) learning has been proposed as a new learning method. The PNN learning is a self-organizing process designed to determine an appropriate set of Ivakhnenko polynomials that allow the activation of many neurons to achieve a desired state of activation that mimics a given set of sampled patterns. These neurons are interconnected in such a way that the knowledge is stored in Ivakhnenko coefficients. In this paper, the PNN model has been developed using the plasma enhanced chemical vapor deposition (PECVD) experimental data. To characterize the PECVD process using PNN, SiO$_2$films deposited under varying conditions were analyzed using fractional factorial experimental design with three center points. Parameters varied in these experiments included substrate temperature, pressure, RF power, silane flow rate and nitrous oxide flow rate. Approximately five microns of SiO$_2$were deposited on (100) silicon wafers in a Plasma-Therm 700 series PECVD system at 13.56 MHz.

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Effect of Post-Metallization Anneal (PMA) on Interface Trap Density of Si-$SiO_2$ (금속후 어닐링 방법이 Si-$SiO_2$ 계면 전하 농도에 미치는 영향)

  • Jung, Jong-Wan
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2007.11a
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    • pp.157-158
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    • 2007
  • Effects of post-metallization anneal (PMA) on interface trap characteristics of Si-$SiO_2$ are studied. The conventional PMA method utilizes forming gas anneal, where 10% hydrogen in nitrogen atmosphere is used. A new PMA method utilizes hydrogen rich PECVD- silicon nitride $(SiN_x)$ film as a hydrogen diffusion source and a out-diffusion blocking layer. It can be shown through charge pumping current measurement that the new PMA is indeed effective to decrease Si-$SiO_2$ interface trap density.

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Non-linear optical properties of PECVD nanocrystal-Si nanosecond excitation (PECVD로 제조된 나노결정실리콘 비선형 광학적특성)

  • Yang, Hyeon-Hun;Kim, Han-Wool;Kim, Joo Hoe;Kim, Chul Joong;Lee, Chang Gwon
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.60.2-60.2
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    • 2011
  • A study of the non-linear optical properties of nanocrystal-Si embedded in SiO2 has been performed by using the z-scan method in the nanosecond and femtosecond ranges. Substoichiometric SiOx films were grown by plasma-enhanced chemical-vapor deposition(PECVD) on silica substrates for Si excesses up to 24 at/%. An annealing at $1250^{\circ}C$ for 1 hour was performed in order to precipitate nanocrystal-Si, as shown by EFTEM images. Z-scan results have shown that, by using 5-ns pulses, the non-linear process is ruled by thermal effects and only a negative contribution can be observed in the non-linear refractive index, with typical values around $-10-10cm^2/W$. On the other hand, femtosecond excitation has revealed a pure electronic contribution to the nonlinear refractive index, obtaining values in the order of 10-12 cm2/W. Simulations of heat propagation have shown that the onset of the temperature rise is delayed more than half pulse-width respect to the starting edge of the excitation. A maximum temperature increase of ${\Delta}T=123.1^{\circ}C$ has been found after 3.5ns of the laser pulse maximum. In order to minimize the thermal contribution to the z-scan transmittance and extract the electronic part, the sample response has been analyzed during the first few nanoseconds. By this method we found a reduction of 20% in the thermal effects. So that, shorter pulses have to be used obtain just pure electronic nonlinearities.

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고밀도 플라즈마를 이용한 STI 공정에 적용되는 $SiO_2$ 절연막의 균일성 연구

  • Kim, Su-In;Lee, Chang-U;Hong, Sun-Il
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.08a
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    • pp.183-183
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    • 2010
  • 최근 고밀도 플라즈마(High Density Plasma, HDP)를 이용하여 STI (shallow trench Isolation) 공정에 사용하기 위한 높은 종횡비를 가지는 갭을 공극 없이 절연물질로 채우는 HDP CVD 법이 개발되어 사용되고 있으며, HDP 공정에서는 그 증착 과정 중에 스퍼터링(Sputtering)에 의한 식각이 동시에 발생하기 때문에 높은 종횡비를 가지는 갭을 공극 없이 채우는 것이 가능하게 되었다. 이러한 특성을 이용하여 HDP CVD 공정은 주로 STI 와 알루미늄 배선간의 갭을 실리콘 산화막 ($SiO_2$)의 절연막으로 채우는 데 주로 사용되고 있다. 이 논문에서는 새로 개발된 HDP CVD 법을 적용하여 300 mm Si 웨이퍼에 $SiO_2$ 절연막을 증착하여 웨이퍼의 중심과 가장자리의 deposition uniformity를 nano-indenter system을 이용하여 연구하였으며, 그 결과 300 mm 웨이퍼에서 균일한 탄성계수 값이 측정되었다. 또한 HDP CVD로 제작된 SiO2 박막의 탄성계수 값이 99 - 107 GPa로 측정되어 기존 PECVD-$SiO_2$ 박막보다 약 10 - 20% 향상된 것을 확인하였다.

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