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冷轧薄钢板退火过程组织演变的Monte Carlo模拟
冷轧薄钢板退火过程组织演变的Monte Carlo模拟
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冷轧薄钢板退火过程组织演变的FGHIJKLMNG模拟
姜寿文9赵国群9关小军9王作成
山东大学材料学院9山东济南$>#%%A!C
摘
要=利用O6实现了退火P<Q3RS76方法及模型进行了冷轧薄钢板静态再结晶退火组织的模拟9
组织的连续动态变化过程9可以观察晶界的迁移及晶粒在退火过程中相互吞并的机理和过程T还模
拟了冷轧钢板退火过程中晶粒尺寸及再结晶分数的变化规律及冷轧压下率对再结晶的影响T将模拟结果与实验结果进行对比发现9两者基本吻合T
关键词=计算机模拟D退火D组织D冷轧D钢板O6P<Q3RS76法D中图分类号=#A8$1U!
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Monte Carlo calculation of the current-voltage characteristics of a two dimensional lattice
We have studied the nonlinear current-voltage characteristic of a two dimensional lattice Coulomb gas by Monte Carlo simulation. We present three different determinations of the power-law exponent $a(T)$ of the nonlinear current-voltage characteristic, $V
MonteCarlocalculationofthecurrent-voltagecharacteristicsofa
twodimensionallatticeCoulombgas
HansWeber1,MatsWallin2,andHenrikJeldtoftJensen3
1DepartmentofPhysics,Lule aUniversityofTechnology,S-97187Lule a,Sweden
arXiv:cond-mat/9601040v1 13 Jan 19962DepartmentofTheoreticalPhysic
A one-pass sequential Monte Carlo method for Bayesian analysis of massive datasets
? In all but trivial cases, analytical posterior unavailable. ? Sequential setup is appealing, but most priors are not conjugate. ? Approximations (Normal/Laplace) may not be feasible. Practicalities of Bayesian Analysis ? In all but trivial cases, analyti
AOne-PassSequentialMonteCarloMethodforBayesianAnalysisofMassiveDatasets
SuhridBalakrishnan
DavidMadigan
DepartmentofComputerScience
DepartmentofStatistics
RutgersUniversity
Piscataway,NJ08854
August28,2004
? In all but trivial cases, analytical posterior unavailable. ? Sequent
A package of Linux scripts for the parallelization of Monte
161 A GUI application for creating macrofiles in GATE Original Research Article
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Volume 569, Issue 2, 20 December 2006, Pages 378-380
S. Boukis, N. Sakellios, G. Loudos, K. Nikita
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