Modeling arsenic deactivation through arsenic-vacancy clusters using an atomistic kinetic Monte Carlo approach

被引:33
|
作者
Pinacho, R [1 ]
Jaraiz, M [1 ]
Castrillo, P [1 ]
Martin-Bragado, I [1 ]
Rubio, JE [1 ]
Barbolla, J [1 ]
机构
[1] Univ Valladolid, Dept Elect, E-47011 Valladolid, Spain
关键词
D O I
10.1063/1.1948533
中图分类号
O59 [应用物理学];
学科分类号
摘要
A comprehensive atomistic model for arsenic in silicon which includes charge effects and is consistent with first-principles calculations for arsenic-vacancy cluster energies has been developed. Emphasis has been put in reproducing the electrical deactivation and the annealed profiles in preamorphized silicon. The simulations performed with an atomistic kinetic Monte Carlo simulator suggest a predominant role of the mobile interstitial arsenic in deactivation experiments and provide a good understanding of the arsenic behavior in preamorphized silicon during annealing. (c) 2005 American Institute of Physics.
引用
收藏
页码:1 / 3
页数:3
相关论文
共 50 条
  • [41] Modeling of layering growth processes using a Monte Carlo approach
    Rieck, Christian
    Bueck, Andreas
    Tsotsas, Evangelos
    IFAC PAPERSONLINE, 2015, 48 (01): : 99 - 104
  • [42] Analysis of Dopant Diffusion and Defects in SiGe channel Quantum Well for Laser Annealed Device using an Atomistic Kinetic Monte Carlo Approach
    Noda, T.
    Witters, L.
    Mitard, J.
    Rosseel, E.
    Hellings, G.
    Vrancken, C.
    Bender, H.
    Hoffmann, T. Y.
    Horiguchi, N.
    Vandervorst, W.
    2011 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM), 2011,
  • [43] Study of Stranski-Krastanov growth using kinetic Monte Carlo simulations with an atomistic model of elasticity
    Nath, Pinku
    Ranganathan, Madhav
    SURFACE SCIENCE, 2014, 628 : 8 - 16
  • [44] Full Atomistic Kinetic Monte Carlo and First Principles Study on Electromotive Force of SOFC with Direct Counting Approach
    Tada, T.
    SOLID OXIDE FUEL CELLS 15 (SOFC-XV), 2017, 78 (01): : 2815 - 2822
  • [45] Modeling silicate dissolution at micro-scale using kinetic Monte Carlo approach: A case study with quartz
    Kurganskaya, Inna
    Fischer, Cornelius
    Luttge, Andreas
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 247
  • [46] Atomic scale modeling of the silicon (100) thermal oxidation, a kinetic Monte Carlo approach
    Esteve, A
    Rouhani, MD
    Faurous, P
    Esteve, D
    ULTRATHIN SIO2 AND HIGH-K MATERIALS FOR ULSI GATE DIELECTRICS, 1999, 567 : 213 - 218
  • [47] Health risk assessment using Monte-Carlo simulations due to arsenic contamination in groundwater in Punjab
    Yadav, Sangeeta
    Kalkal, Sunil
    JOURNAL OF WATER AND HEALTH, 2024, 22 (12) : 2304 - 2319
  • [48] Excitation energy transfer in photosynthetic complexes using a kinetic Monte Carlo approach
    Armijo, Zane E.
    BIOPHYSICAL JOURNAL, 2024, 123 (03) : 247A - 248A
  • [49] Study of magnetization relaxation in molecular spin clusters using an innovative kinetic Monte Carlo method
    Haldar, Sumit
    Ramasesha, S.
    PHYSICAL REVIEW B, 2021, 103 (21)
  • [50] A Kinetic Monte Carlo Approach for Self-Diffusion of Pt Atom Clusters on a Pt(111) Surface
    Deak, R.
    Neda, Z.
    Barna, P. B.
    COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2011, 10 (04) : 920 - 939