MULTISCALE MODELING OF FLUCTUATIONS IN STOCHASTIC ELLIPTIC PDE MODELS OF NANOSENSORS

被引:11
|
作者
Heitzinger, Clemens [1 ,2 ,3 ]
Ringhofer, Christian [4 ]
机构
[1] Univ Cambridge, Dept Appl Math & Theoret Phys, Cambridge CB3 0WA, England
[2] Univ Vienna, Dept Math, A-1090 Vienna, Austria
[3] AIT, A-1220 Vienna, Austria
[4] Arizona State Univ, Dept Math, Tempe, AZ 85287 USA
基金
奥地利科学基金会; 美国国家科学基金会;
关键词
Stochastic elliptic partial differential equation; multiscale problem; homogenization; limiting problem; rate; field-effect sensor; nanowire; BioFET; PARTIAL-DIFFERENTIAL-EQUATIONS; HOMOGENIZATION;
D O I
10.4310/CMS.2014.v12.n3.a1
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this work, the multiscale problem of modeling fluctuations in boundary layers in stochastic elliptic partial differential equations is solved by homogenization. A homogenized equation for the covariance of the solution of stochastic elliptic PDEs is derived. In addition to the homogenized equation, a rate for the covariance and variance as the cell size tends to zero is given. For the homogenized problem, an existence and uniqueness result and further properties are shown. The multiscale problem stems from the modeling of the electrostatics in nanoscale field-effect sensors, where the fluctuations arise from random charge concentrations in the cells of a boundary layer. Finally, numerical results and a numerical verification are presented.
引用
收藏
页码:401 / 421
页数:21
相关论文
共 50 条
  • [1] Implementation of the Multiscale Stochastic Finite Element Method on Elliptic PDE Problems
    Wu, Yuching
    Xiao, Jianzhuang
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2017, 14 (01)
  • [2] Optimal Approximation of the First-Order Correctorin Multiscale Stochastic Elliptic PDE
    Geiersbach, Carline
    Heitzinger, Clemens
    Tulzer, Gerhard
    [J]. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 2016, 4 (01): : 1246 - 1262
  • [3] Stochastic scalar mixing models accounting for turbulent frequency multiscale fluctuations
    Soulard, O
    Sabel'nikov, V
    Gorokhovski, M
    [J]. INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2004, 25 (05) : 875 - 883
  • [4] Multiscale modeling of DNA-wrapped carbon nanotube nanosensors
    Vukovic, Lela
    Alizadehmojarad, Aliasghar
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 256
  • [5] A SYNOPSIS OF ELLIPTIC PDE MODELS FOR GRID GENERATION
    WARSI, ZUA
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 1987, 21 (04) : 295 - 311
  • [6] Multiscale Sensing with Stochastic Modeling
    Budzik, Diane
    Singh, Amarjeet
    Batalin, Maxim A.
    Kaiser, William J.
    [J]. 2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 4637 - 4643
  • [7] Multiscale Elliptic PDE Upscaling and Function Approximation via Subsampled Data
    Chen, Yifan
    Hou, Thomas Y.
    [J]. MULTISCALE MODELING & SIMULATION, 2022, 20 (01): : 188 - 219
  • [8] A note on stochastic elliptic models
    Wan, Xiaoliang
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2010, 199 (45-48) : 2987 - 2995
  • [9] A TWO-STAGE STOCHASTIC PROGRAM WITH ELLIPTIC PDE CONSTRAINTS
    Cajanek, Michal
    Popela, Pavel
    [J]. 16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MENDEL 2010, 2010, : 447 - 452
  • [10] Multiscale approach for stochastic elliptic equations in heterogeneous media
    Wang, Xin
    Cao, Liqun
    Wong, Yaushu
    [J]. APPLIED NUMERICAL MATHEMATICS, 2014, 85 : 54 - 76