On Using Monte Carlo Simulations for Sampling Crystallite Orientations from Given Texture Data

被引：0
|
作者：
K. V. Ostapovich
P. V. Trusov
机构：
[1] Laboratory of Multilevel Structural and Functional Materials Modelling,
[2] Perm National Research Polytechnic University,undefined
[3] Department of Mathematical Modelling of Systems and Processes,undefined
[4] Perm National Research Polytechnic University,undefined
来源：
Lobachevskii Journal of Mathematics | 2022年 / 43卷
关键词：
multilevel model; pole figure; polycrystal; radon transform; rotation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1962 / 1975
页数：13
相关论文
共 50 条
  • [41] Importance Sampling Monte Carlo simulations for accurate estimation of SRAM yield
    Doom, T. S.
    ter Maten, E. J. W.
    Croon, J. A.
    Di Bucchianico, A.
    Wittich, O.
    ESSCIRC 2008: PROCEEDINGS OF THE 34TH EUROPEAN SOLID-STATE CIRCUITS CONFERENCE, 2008, : 230 - +
  • [42] ON THE SAMPLING METHOD FOR GRAND-CANONICAL MONTE-CARLO SIMULATIONS
    CRACKNELL, RF
    MOLECULAR SIMULATION, 1994, 13 (03) : 235 - 240
  • [43] Improving the acceptance in Monte Carlo simulations: Sampling through intermediate states
    Pazzona, Federico G.
    Demontis, Pierfranco
    Suffritti, Giuseppe B.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2015, 295 : 556 - 568
  • [44] Acceleration of Optical Photon Monte Carlo Simulations Using the Macro Monte Carlo Method
    Jacqmin, D.
    MEDICAL PHYSICS, 2012, 39 (06) : 3623 - 3623
  • [45] Nonprimitive Model Electrolyte Solutions: Comprehensive Data from Monte Carlo Simulations
    Theiss, Marc
    Gross, Joachim
    JOURNAL OF CHEMICAL AND ENGINEERING DATA, 2020, 65 (02): : 634 - 639
  • [46] Validation of Bragg edge experiments by Monte Carlo simulations for quantitative texture analysis
    Boin, M.
    Hilger, A.
    Kardjilov, N.
    Zhang, S. Y.
    Oliver, E. C.
    James, J. A.
    Randau, C.
    Wimpory, R. C.
    JOURNAL OF APPLIED CRYSTALLOGRAPHY, 2011, 44 : 1040 - 1046
  • [47] Determining Transcription Factor Activity from Microarray Data using Bayesian Markov Chain Monte Carlo Sampling
    Kossenkov, Andrew V.
    Peterson, Aidan J.
    Ochs, Michael F.
    MEDINFO 2007: PROCEEDINGS OF THE 12TH WORLD CONGRESS ON HEALTH (MEDICAL) INFORMATICS, PTS 1 AND 2: BUILDING SUSTAINABLE HEALTH SYSTEMS, 2007, 129 : 1250 - +
  • [48] Sampling Enrichment toward Target Structures Using Hybrid Molecular Dynamics-Monte Carlo Simulations
    Yang, Kecheng
    Rozycki, Bartosz
    Cui, Fengchao
    Shi, Ce
    Chen, Wenduo
    Li, Yunqi
    PLOS ONE, 2016, 11 (05):
  • [49] Enhancement of Sampling Efficiency in ab Initio Monte Carlo Simulations Using an Auxiliary Potential Energy Surface
    Nakayama, Akira
    Taketsugu, Tetsuya
    ADVANCES IN QUANTUM MONTE CARLO, 2012, 1094 : 27 - 40
  • [50] COMPARISON OF CLASSICAL VS INVERSE SAMPLING FOR ESTIMATING PLANT COVER USING MONTE-CARLO SIMULATIONS
    REICH, RM
    BONHAM, CD
    REMINGTOJN, KK
    APPLIED MATHEMATICS AND COMPUTATION, 1994, 64 (2-3) : 171 - 190
12345