• 반도체디스플레이기술학회지
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• 제18권4호
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• pp.134-137
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• 2019

In this paper, the data retention characteristics were analyzed to find out the thickness effect on the trap energy distribution of silicon nitride in the silicon-oxide-nitride-oxide-silicon (SONOS) flash memory devices. The nitride films were prepared by low pressure chemical vapor deposition (LPCVD). The flat band voltage shift in the programmed device was measured at the elevated temperatures to observe the thermal excitation of electrons from the nitride traps in the retention mode. The trap energy distribution was extracted using the charge decay rates and the experimental results show that the portion of the shallow interface trap in the total nitride trap amount including interface and bulk trap increases as the nitride thickness decreases.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1999년도 추계학술대회 논문집
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• pp.453-456
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• 1999

The Si-SiO$_2$interface trap and nitride bulk trap distribution of SONOSFET(polysilicon-oxide-nitride-oxide-semiconductor)NVSM(nonvolatile semiconductor memory) cell were investigated by single charge pumping method. The used device was fabricated by 0.35 7m standard logic fabrication including the ONO cell process. This ONO dielectric thickness is tunnel oxide 24 $\AA$, nitride 74 $\AA$, blocking oxide 25 $\AA$, respectively. Keeping the pulse base level in accumulation and pulsing the surface into inversion with increasing amplitudes, the charge pumping current flow from the single junction. Using the obtained I$_{cp}$-V$_{h}$ curve, the local V$_{t}$ distribution, doping concentration, lateral interface trap distribution and lateral memory trap distribution were extracted. The maximum N$_{it}$($\chi$) of 1.62$\times$10$^{19}$ /cm$^2$were determined.mined.d.

• 전자공학회논문지A
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• 제29A권8호
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• pp.56-62
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• 1992

This paper is analyzed the charge trapping and electrical properties of 0(Oxide), NO(Nitrided oxide) and ONO(Reoxidized nitrided oxide) as dielectric films in MIS structures. We have processed bottom oxide and top oxide by the thermal method, and nitride(Si$_{3}N_{4}$) by the LPCVD(Low Pressure Chemical Vapor Deposition) method on P-type(100) Silicon wafer. We have studied the charge trapping properties of the dielectrics by using a computer controlled DLTS system. All of the dielectric films are shown peak nearly at 300K. Those are bulk traps. Many trap densities which is detected in NO films, but traps. Many trap densities which is detected in NO films. Varing the nitride thickness, the trap densities of thinner nitride is decreased than the thicker nitride. Finally we have found that trap densities of ONO films is affected by nitride thickness.

• 한국전기전자재료학회논문지
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• 제13권10호
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• pp.822-827
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• 2000

The Si-SiO$_2$interface trap and nitride bulk trap distribution of SONOSFET(polysilicon-oxide-nitride-oxide-semiconductor field effect transistor) NVSM (nonvolatile semiconductor memory) cell is investigated by single junction charge pumping method. The device was fabricated by 0.35㎛ standard logic fabrication process including the ONO stack dielectrics. The thickness of ONO dielectricis are 24$\AA$ for tunnel oxide, 74 $\AA$ for nitride and 25 $\AA$ for blocking oxide, respectively. By the use of single junction charge pumping method, the lateral profiles of both interface and memory traps can be calculated directly from experimental charge pumping results without complex numerical simulation. The interface traps were almost uniformly distributed over the whole channel region and its maximum value was 7.97$\times$10$\^$10/㎠. The memory traps were uniformly distributed in the nitride layer and its maximum value was 1.04$\times$10$\^$19/㎤. The degradation characteristics of SONOSFET with write/erase cycling also were investigated.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2005년도 춘계종합학술대회
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• pp.981-984
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• 2005

본 논문에서는 전하트랩형 SONOS 메모리에서 프로그래밍 동작 후 변화되는 문턱전압을 시뮬레이션에 의하여 구현하고자 한다. SONOS 소자는 질화막내의 트랩 뿐 만아니라, 질화막-블로킹산화막 계면에 존재하는 트랩에 전하를 저장하는 전하트랩형 비휘발성기억소자로서, 기억상태에 따른 문턱전압을 시뮬레이션으로 구현하기위해서는 질화막내의 트랩을 정의할 수 있어야 된다. 그러나 기존의 시뮬레이터에서는 질화막내의 트랩모델이 개발되어 있지 않은 것이 현실이다. 따라서 본 연구에서는 SONOS 구조의 터널링산화막-질화막 계면과 질화막-블로킹산화막 계면에 두개의 전극을 정의하여 프로그램 전압과 시간에 따라서 전극에 유기되는 전하량으로부터 전하트랩형 기억소자의 문턱전압변화를 시뮬레이션 할 수 있는 새로운 방법을 제안한다.

• 전기전자학회논문지
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• 제25권4호
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• pp.770-773
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• 2021

본 논문에서는 tapering과 ferroelectric(HfO₂)구조가 적용된 3D NAND flash memory의 프로그램 이후 시간경과에 따른 retention특징을 분석했다. Nitride에 trap된 전자는 시간이 지남에 따라 lateral charge migration이 발생한다. 프로그램 이후 시간이 지남에 따라 trap된 전자가 tapering에 의해 두꺼워진 채널 쪽으로 lateral charge migration이 더 많이 발생하는 것을 확인했다. 또한 Oxide-Nitride-Ferroelectric (ONF) 구조는 polarization에 의해 lateral charge migration이 완화되기 때문에 기존 Oxide-Nitride-Oxide (ONO) 구조 보다 문턱전압(V_th)의 변화량이 줄어든다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제17권2호
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• pp.167-173
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• 2017

In this paper, the characterization of the vertical position of trapped charges in the charge-trap flash (CTF) memory is performed in the novel CTF memory cell with gate-all-around structure using technology computer-aided design (TCAD) simulation. In the CTF memories, injected charges are not stored in the conductive poly-crystalline silicon layer in the trapping layer such as silicon nitride. Thus, a reliable technique for exactly locating the trapped charges is required for making up an accurate macro-models for CTF memory cells. When a programming operation is performed initially, the injected charges are trapped near the interface between tunneling oxide and trapping nitride layers. However, as the program voltage gets higher and a larger threshold voltage shift is resulted, additional charges are trapped near the blocking oxide interface. Intrinsic properties of nitride including trap density and effective capture cross-sectional area substantially affect the position of charge centroid. By exactly locating the charge centroid from the charge distribution in programmed cells under various operation conditions, the relation between charge centroid and program operation condition is closely investigated.

• Nanomaterials
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• 제12권11호
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• pp.1808-1817
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• 2022

A machine-learning (ML) technique was used to optimize the energetic-trap distributions of nano-scaled charge trap nitride (CTN) in 3D NAND Flash to widen the threshold voltage (V_th) window, which is crucial for NAND operation. The energetic-trap distribution is a critical material property of the CTN that affects the V_th window between the erase and program V_th. An artificial neural network (ANN) was used to model the relationship between the energetic-trap distributions as an input parameter and the V_th window as an output parameter. A well-trained ANN was used with the gradient-descent method to determine the specific inputs that maximize the outputs. The trap densities (N_TD and N_TA) and their standard deviations (σ_TD and σ_TA) were found to most strongly impact the V_th window. As they increased, the V_th window increased because of the availability of a larger number of trap sites. Finally, when the ML-optimized energetic-trap distributions were simulated, the V_th window increased by 49% compared with the experimental value under the same bias condition. Therefore, the developed ML technique can be applied to optimize cell transistor processes by determining the material properties of the CTN in 3D NAND Flash.

• 대한전자공학회논문지SD
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• 제45권7호
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• pp.37-43
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• 2008

본 논문에서는 전하 펌프 방법 (Charge Pumping Method, CPM)를 이용하여 서로 다른 질화막 층을 가지는 N-Channel SANOS (Silicon-$Al_2O_3$-Nitride-Oxide-Silicon) Flash Memory Cell 트랜지스터의 트랩 특성을 규명하였다. SANOS Flash Memory에서 계면 및 질화막 트랩의 중요성은 널리 알려져 있지만 소자에 직접 적용 가능하면서 정화하고 용이한 트랩 분석 방법은 미흡하다고 할 수 있다. 기존에 알려진 분석 방법 중 전하 펌프 방법은 측정 및 분석이 간단하면서 트랜지스터에 직접 적용이 가능하여 MOSFET에 널리 사용되어왔으며 최근에는 MONOS/SONOS 구조에도 적용되고 있지만 아직까지는 Silicon 기판과 tunneling oxide와의 계면에 존재하는 트랩 및 tunneling oxide가 얇은 구조에서의 질화막 벌크 트랩 추출 결과만이 보고되어 있다. 이에 본 연구에서는 Trapping Layer (질화막)가 다른 SONOS 트랜지스터에 전하 펌프 방법을 적용하여 Si 기판/Tunneling Oxide 계면 트랩 및 질화막 트랩을 분리하여 평가하였으며 추출된 결과의 정확성 및 유용성을 확인하고자 트랜지스터의 전기적 특성 및 메모리 특성과의 상관 관계를 분석하고 Simulation을 통해 확인하였다. 분석 결과 계면 트랩의 경우 트랩 밀도가 높고 trap의 capture cross section이 큰 소자의 경우 전자이동도, subthreshold slop, leakage current 등의 트랜지스터의 일반적인 특성 열화가 나타났다. 계면 트랩은 특히 Memory 특성 중 Program/Erase (P/E) speed에 영향을 미치는 것으로 나타났는데 이는 계면결함이 많은 소자의 경우 같은 P/E 조건에서 더 많은 전하가 계면결함에 포획됨으로써 trapping layer로의 carrier 이동이 억제되기 때문으로 판단되며 simulation을 통해서도 동일한 결과를 확인하였다. 하지만 data retention의 경우 계면 트랩보다 charge trapping layer인 질화막 트랩 특성에 의해 더 크게 영향을 받는 것으로 나타났다. 이는 P/E cycling 횟수에 따른 data retention 특성 열화 측정 결과에서도 일관되게 확인할 수 있었다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2007년도 추계학술대회 논문집
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• pp.94-95
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• 2007

In this paper, the dependence of electrical characteristics of Silicon-$Al_2O_3$-Nitride-Oxide-Silicon (SANOS) memory cell transistors and program speed, reliability of memory device on interface trap between Si substrate and tunneling oxide was investigated. The devices were fabricated by the identical processing in a single lot except the deposition method of the charge trapping layer, nitride. In the case of P/E speed, it was shown that P/E speed is slower in the SONOS cell transistors with larger interface trap density by charge blocking effect, which is confirmed by simulation results. However, the data retention characteristics show much less dependence on interface trap. Therefore, to improve SANOS memory characteristic, it is very important to optimize the interface trap and charge trapping layer.