Surface roughness induced device variability: 3D ab initio Monte Carlo simulation study

被引:0
|
作者
Craig L. Alexander
Asen Asenov
机构
[1] University of Glasgow,Dept. E&EE, Device Modelling Group
来源
关键词
Monte Carlo; Surface roughness scattering; Device parameter variation;
D O I
暂无
中图分类号
学科分类号
摘要
It is expected that published results from drift diffusion simulation of oxide thickness fluctuations in nano-scale devices underestimates the true intrinsic device parameter variation by neglecting local variations in surface roughness scattering. We present initial results from 3D ‘bulk’ Monte Carlo simulation including an ab initio treatment of surface roughness scattering capable of capturing such transport variation. The scattering is included directly through the real space propagation of carriers in the fluctuating potential associated with a randomly generated interface. We apply this approach to simulate inversion layer mobility in order to validate the model before its possible application in device variability simulations. Qualitative agreement is found with universal mobility data and avenues for possible calibration of surface and simulation parameters are highlighted.
引用
收藏
页码:107 / 110
页数:3
相关论文
共 50 条
  • [41] Application of 3D Monte Carlo simulation of Auger line-scanning in analyzing field emission device
    Yan, Huan
    Chen, Li
    Scanning, 2000, 22 (02) : 109 - 110
  • [42] Ab initio study of interaction between 3d adatoms on the vicinal Cu(111) surface
    Syromyatnikov, A. G.
    Kabanov, N. S.
    Saletsky, A. M.
    Klaysyuk, A. L.
    MODERN PHYSICS LETTERS B, 2016, 30 (17):
  • [43] Thermal transport in nanocrystalline Si and SiGe by ab initio based Monte Carlo simulation
    Yang, Lina
    Minnich, Austin J.
    SCIENTIFIC REPORTS, 2017, 7
  • [44] Thermal transport in nanocrystalline Si and SiGe by ab initio based Monte Carlo simulation
    Lina Yang
    Austin J. Minnich
    Scientific Reports, 7
  • [45] A Monte Carlo Simulation Study of the Reliability of Intraindividual Variability
    Estabrook, Ryne
    Grimm, Kevin J.
    Bowles, Ryan P.
    PSYCHOLOGY AND AGING, 2012, 27 (03) : 560 - 576
  • [46] Indirect time-of-flight pixel study: 3D Monte Carlo simulation approach
    Lopes, Bruno H.
    Fonteneau, Pascal
    Rideau, Denis
    Helleboid, Remi
    Mugny, Gabriel
    Goncalves, Boris R.
    Vignetti, Matteo M.
    Nayak, Goutham
    Bawedin, Maryline
    Kaminski, Anne
    PHYSICS AND SIMULATION OF OPTOELECTRONIC DEVICES XXXII, 2024, 12880
  • [47] A Monte-Carlo simulation study on coarse septa for scatter correction in 3D PET
    Hasegawa, T
    Tanaka, E
    Yamashita, T
    Watanabe, M
    Yamaya, T
    Murayama, H
    2001 IEEE NUCLEAR SCIENCE SYMPOSIUM, CONFERENCE RECORDS, VOLS 1-4, 2002, : 2110 - 2114
  • [48] A preliminary study of Monte Carlo simulation for the 3D printing small animal phantom design
    Song, H.
    Jung, H.
    Kim, K.
    Ji, Y.
    Park, S.
    RADIOTHERAPY AND ONCOLOGY, 2015, 115 : S738 - S738
  • [49] Ab initio-Monte Carlo studies on magnetic properties of tetragonal L10 ordered 3d/Au superlattices
    Wang, HT
    Wang, DS
    Kawazoe, Y
    MATERIALS TRANSACTIONS, 2003, 44 (08) : 1529 - 1534
  • [50] Ab initio MO and Monte Carlo simulation study on the conformation of L-alanine zwitterion in aqueous solution
    Kikuchi, O
    Watanabe, T
    Ogawa, Y
    Takase, H
    Takahashi, O
    JOURNAL OF PHYSICAL ORGANIC CHEMISTRY, 1997, 10 (03) : 145 - 151