Multiscale-Multiphysics Modeling of Nonclassical Semiconductor Devices

被引:0
作者
Ahmed, Shaikh S. [1 ]
Rashid, Mohammad Z. [1 ]
Al-Qahtani, Saad M. [1 ]
Abdullah, Abdulmuin M. [1 ]
Nishat, Md Rezaul Karim [1 ]
Khair, Khadija A. [1 ]
Wu, Ye [1 ]
Taher, Mayada M. [1 ]
Al-Sibiani, Sameer [1 ]
Muntahi, Abdussamad A. [1 ]
机构
[1] Southern Illinois Univ Carbondale, Dept Elect & Comp Engn, 1230 Lincoln Dr, Carbondale, IL 62901 USA
来源
2016 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (ICECE) | 2016年
基金
美国国家科学基金会;
关键词
QuADS; 3-D; multiscale modeling; nanoscale devices; tight-binding; Monte Carlo; coupled transport; MONTE-CARLO METHOD; SIMULATION; TRANSPORT; ALGORITHM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This work describes our on-going efforts to develop a multiscale Quantum Atomistic Device Simulator (QuADS 3-D) where: a) material parameters are obtained atomistically using first-principles, b) structural relaxation and phonon dispersions are studied via molecular mechanics/dynamics, c) a variety of tight-binding models (s, sp(3)s*, sp(3)d(5)s*) are used for the calculation of electronic band structure and interband transition rates, and d) coupled charge-phonon transport is simulated using a combined Monte Carlo-NEGF framework. The atom-by-atom simulation capability in QuADS 3-D exposes new degrees-of-freedom at nanoscale (such as engineering the stress, hybrid crystal cuts, composition, surface polarization, and electrostatics) and creates transformative design routes for boosting performance and reliability of novel nanoelectronic devices. Application of QuADS 3D is demonstrated by four examples: 1) quantum and coulomb effects in nanoscale FETs; 2) correlation of structural modifications and reliability in AIGaN HEMTs; 3) effects of contact resistances in nanostructured thermoelectric coolers; and 4) efficiency droop in nanostructured III-N LEDs.
引用
收藏
页码:20 / 25
页数:6
相关论文
共 29 条
  • [1] Ahmed S., 2009, ENCY COMPLEXITY SYST, P5745
  • [2] Ahmed S, 2011, NANO-ELECTRONIC DEVICES: SEMICLASSICAL AND QUANTUM TRANSPORT MODELING, P405, DOI 10.1007/978-1-4419-8840-9_7
  • [3] Electronic Structure of InN/GaN Quantum Dots: Multimillion-Atom Tight-Binding Simulations
    Ahmed, Shaikh
    Islam, Sharnali
    Mohammed, Shareef
    [J]. IEEE TRANSACTIONS ON ELECTRON DEVICES, 2010, 57 (01) : 164 - 173
  • [4] Parameter-free effective potential method for use in particle-based device simulations
    Ahmed, SS
    Ringhofer, C
    Vasileska, D
    [J]. IEEE TRANSACTIONS ON NANOTECHNOLOGY, 2005, 4 (04) : 465 - 471
  • [5] Nonlinear polarization and efficiency droop in hexagonal InGaN/GaN disk-in-wire LEDs
    Chimalgi, Vinay Uday
    Nishat, Md Rezaul Karim
    Ahmed, Shaikh Shahid
    [J]. SUPERLATTICES AND MICROSTRUCTURES, 2015, 84 : 91 - 98
  • [6] The Impact of Bias Conditions on Self-Heating in AlGaN/GaN HEMTs
    Choi, Sukwon
    Heller, Eric R.
    Dorsey, Donald
    Vetury, Ramakrishna
    Graham, Samuel
    [J]. IEEE TRANSACTIONS ON ELECTRON DEVICES, 2013, 60 (01) : 159 - 162
  • [7] Chowdhury I, 2009, NAT NANOTECHNOL, V4, P235, DOI [10.1038/nnano.2008.417, 10.1038/NNANO.2008.417]
  • [8] MONTE-CARLO STUDY OF ELECTRON-TRANSPORT IN SILICON INVERSION-LAYERS
    FISCHETTI, MV
    LAUX, SE
    [J]. PHYSICAL REVIEW B, 1993, 48 (04) : 2244 - 2274
  • [9] A fast algorithm for particle simulations (Reprinted from the Journal of Computational Physics, vol 73, pg 325-348, 1987)
    Greengard, L
    Rokhlin, V
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 1997, 135 (02) : 280 - 292
  • [10] Advancing nanoelectronic device modeling through peta-scale computing and deployment on nanoHUB
    Haley, Benjamin P.
    Lee, Sunhee
    Luisier, Mathieu
    Ryu, Hoon
    Saied, Faisal
    Clark, Steve
    Bae, Hansang
    Klimeck, Gerhard
    [J]. SCIDAC 2009: SCIENTIFIC DISCOVERY THROUGH ADVANCED COMPUTING, 2009, 180