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Featured researches published by Longxiang Yin.


international reliability physics symposium | 2015

Comprehensive understanding of hot carrier degradation in multiple-fin SOI FinFETs

Hai Jiang; Longxiang Yin; Yun Li; Nuo Xu; Kai Zhao; Yandong He; Gang Du; Xiaoyan Liu; Xing Zhang

In this work, we comprehensively explore hot carrier degradation (HCD) in multiple-fin SOI FinFETs with both short channel length and long channel length, and demonstrate that the degradation mechanism in short channel device is different from that of long channel device. The hot carrier degradation in short channel length device under long stress time is dominated by oxide charge. Meanwhile, the hot carrier degradation is aggravated by self-heating effect (SHE).


international reliability physics symposium | 2017

Ultrafast pulse characterization of hot carrier injection effects on ballistic carrier transport for sub-100 nm MOSFETs

Ran Cheng; Xiao Yu; Lei Shen; Longxiang Yin; Yanyan Zhang; Zejie Zheng; Bing Chen; Xiaohui Liu; Yi Zhao

In this work, we investigate the effect of hot carrier injection (HCI) on the ballistic transport characteristics of SOI MOSFETs for the first time. Ballistic efficiency is an important indicator of device performance for nanoscale transistors. In the process of HCI stress, the traps and defects generated in the transistor channel would increase the carrier scattering and therefore degrade the ballistic efficiency. The effect of this degradation changes with gate length. In addition, due to low thermal conductivity of the oxide layer and high on-state current for nanoscale transistors, the SOI MOSFETs suffer from severe self-heating effect (SHE) which would affect the accurate evaluation of HCI effects on the ballistic carrier transport. Ultrafast pulse measurement were employed in this study to exempt the SHE from the characterization process, yielding more realistic results for the reliability estimation on device ballisticity.


Science in China Series F: Information Sciences | 2018

Impact of self-heating effects on nanoscale Ge p-channel FinFETs with Si substrate

Longxiang Yin; Lei Shen; Hai Jiang; Gang Du; Xiaohui Liu

In this paper, self-heating effects (SHE) in nanoscale Ge p-channel FinFETs with Si substrate are evaluated by TCAD simulation. Hydrodynamic transport with modified mobilities and Fourier´s law of heat conduction with modified thermal conductivities are used in the simulation. Ge p-channel single-fin FinFET devices with different S/D extension lengths and fin heights, and multi-fin FinFETs with different fin numbers and fin pitches are successively investigated. Boundary thermal resistances at source, drain and gate contacts are set to 2000 μm2K/W and the substrate thermal boundary condition is set to 300 K so that the source and drain heat dissipation paths are the first two heat dissipation paths. The results are listed below: (i) 14 nm Ge p-channel single-fin FinFETs with a 47 nm fin pitch experience 9.7% on-state current degradation. (ii) Considering the same input power, FinFETs with a longer S/D extension length show a higher lattice temperature and a larger on-state current degradation. (iii) Considering the same input power, FinFETs with a taller fin height show a higher lattice temperature. (iv) The temperature in multi-fin FinFET devices will first increase then saturate with the increasing fin number. At last, thermal resistances in Ge p-channel single-fin FinFETs and multi-fin FinFETs are investigated.


Science in China Series F: Information Sciences | 2018

Calibration of drift-diffusion model in quasi-ballistic transport region for FinFETs

Lei Shen; Shaoyan Di; Longxiang Yin; Xiaohui Liu; Gang Du

In the past few years, conventional digital IC technologies have developed rapidly and the device structures have shrunk down to the quasi-ballistic region which strongly affects the device characteristics. The usage of the steady-state transport model and the parameters of the drift-diffusion (DD) method may not correctly model the performance of these devices, including the velocity distributions of the carriers. Several previous studies have suggested modifying the transport parameters of the DD model to continue using it in the quasi-ballistic region. In this paper, a Monte Carlo (MC) simulator is used to calibrate the transport parameters of the DD model for silicon FinFETs. The device features obtained via the parameter-calibrated DD model fit well with the MC simulator. The trends of the calibration factors are also investigated for varying drain voltage, gate voltage, fin width and gate length.


Journal of Semiconductors | 2018

Impact of ambient temperature on the self-heating effects in FinFETs

Longxiang Yin; Gang Du; Xiaohui Liu

We use an electro-thermal coupled Monte Carlo simulation framework to investigate the self-heating effect (SHE) in 14 nm bulk nFinFETs with ambient temperature (TA) from 220 to 400 K. Based on this method, non-local heat generation can be achieved. Contact thermal resistances of Si/Metal and Si/SiO2 are selected to ensure that the source and drain heat dissipation paths are the first two heat dissipation paths. The results are listed below: (i) not all input power (Qinput) turns into heat generation in the device region and some is taken out by the thermal non-equilibrium carriers, owing to the serious non-equilibrium transport; (ii) a higher TA leads to a larger ratio of input power turning into heat generation in the device region at the same operating voltages; (iii) SHE can lead to serious degradation in the carrier transport, which will increase when TA increases; (iv) the current degradation can be 8.9% when Vds = 0.7 V, Vgs = 1 V and TA = 400 K; (v) device thermal resistance (Rth) increases with increasing of TA, which is seriously impacted by the non-equilibrium transport. Hence, the impact of TA should be carefully considered when investigating SHE in nanoscale devices.


Journal of Semiconductors | 2018

Impact of crystal orientation and surface scattering on DG-MOSFETs in quasi-ballistic region

Lei Shen; Shaoyan Di; Longxiang Yin; Yun Li; Xiaohui Liu; Gang Du

The characteristics of nano scale n-type double gate MOSFETs with (100) and (110) surfaces are studied using 3D full band ensemble Monte Carlo simulator. The anisotropic surface scattering mechanism is investigated. The (100) case is sensitive to the gate voltage more than the (110) case. The impact of crystal orientation and surface scattering on transport features mainly reflects in the carrier velocity distribution. The electron transport features with (100) direction are greater than that with (110) direction, but are more likely to be affected by the surface scattering.


IEEE Transactions on Nanotechnology | 2018

Impacts of Diameter and Ge Content Variation on the Performance of Si1-xGex p-Channel Gate-All-Around Nanowire Transistors

Xianle Zhang; Xiaohui Liu; Longxiang Yin; Gang Du

In this work, the impacts of both nanowire diameter (D<sub>NW</sub>) and Ge content (%) on the performance of Si<sub>1−x</sub>Ge<sub>x</sub> Gate-all-around nanowire <italic>p</italic>-channel FETs are investigated. The variations in SiGe Gate-all-around nanowire <italic>p</italic>-channel FETs induced by D<sub>NW</sub> variation, Ge content variation, and some stochastic process variations including random dopants fluctuation, gate edge roughness, and metal gate granularity are also evaluated.


symposium on vlsi technology | 2016

Investigation of local heating effect for 14nm Ge pFinFETs based on Monte Carlo method

Longxiang Yin; Hai Jiang; Lei Shen; Juncheng Wang; Gang Du; Xiaohui Liu

FinFET is regarded as one of the most promising device structure for future scaling-down demands. However, heat dispassion is a severe problem for the device performance and reliability in nano-scale FinFETs. Germanium (Ge) is a novel channel material with its high carrier mobility, especially for PMOSFET. However, the bulk thermal conductivity of Ge (52.98Wm-1K-1) is almost 3 times smaller than that of Si (148.6Wm-1K-1)[1], which will lead to more serious heat dispassion problems in Ge devices. Whats more, the phonon mean free path is largely decreased in nano-device structure due to increased surface scatterings, which leads to a largely reduced thermal conductivity. Hence, heat dissipation problems will have a large impact on the performance of Ge FinFETs. In this paper, we use 3D Full Band Self-consistent Ensemble Monte Carlo Simulator and 3D Fourier Heat Conduction Solver to study the local heating effects (LHE) and its impact on 14nm Ge SOI pFinFETs. The heat dissipation path is also evaluated. From the simulation results, we find that 14nm Ge SOI FinFETs will experience severe heating problems and heat effects will seriously affect the device performance.


international electron devices meeting | 2016

Insight into PBTI in InGaAs nanowire FETs with Al 2 O 3 and LaAlO 3 gate dielectrics

Yun Li; Shaoyan Di; Hai Jiang; Peng Huang; Yi Wang; Zhiyuan Lun; Lin Shen; Longxiang Yin; Xuan Zhang; Gang Du; X. Y. Liu

The traps induced degradation of the Al<inf>2</inf>O<inf>3</inf> and LaAlO<inf>3</inf> based InGaAs nanowire FETs are investigated by 3D Kinetic Monte-Carlo (KMC) method considering trap coupling and trap generation. The measurement time constants of the defect in Al<inf>2</inf>O<inf>3</inf> and positive bias temperature instability (PBTI) can be well interpreted by consideration with metastable state. The power law of threshold shift can be greatly affected by the stress. Different from traps in Al<inf>2</inf>O<inf>3</inf>, oxygen vacancies and interstitial Aluminum ions in LaAlO<inf>3</inf> have important roles in PBTI. Simulated results indicate that Al<inf>2</inf>O<inf>3</inf> have better PBTI and recovery than that of LaAlO<inf>3</inf>.


ieee international conference on solid state and integrated circuit technology | 2016

Simulation method for forming and switching processes of NbO2-based selector

Junjie Hu; Yudi Zhao; Longxiang Yin; Zhiyuan Lun; Peng Huang; Jinfeng Kang; Xiaohui Liu

NbO2-based selector with threshold switching characteristics was studied as a probable candidate to address the sneak-path problem in the resistive-switching random access memory(RRAM) arrays. In this work, we simulate the forming and switching process of the selector with consideration of the thermally driven metal-insulator transition and crystallization effects. Based on the simulator, we analyze the influence and optimization of the working conditions and device dimensions on the device characteristics.

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