Results 91 to 100 of about 1,205,834 (315)

Monte Carlo Simulation in Reactor Physics

Journal of Nuclear Engineering
With the increasing demand for high-fidelity neutronics analysis and the development of computer technology, the Monte Carlo method is becoming increasingly important, especially in the critical analysis of initial core and shielding calculations [...]
Shichang Liu, Binji Wang
doaj   +1 more source

Adaptive Memory Saving Strategy in Shielding Calculation of RMC [PDF]

EPJ Web of Conferences
RMC(Reactor Monte Carlo) is a Monte Carlo simulation software used in reactor design and has been verified by different benchmarks. The former data structure and algorithm have been optimized for criticality and burn-up calculation making it inconvenient
Hu Yingzhe, Huang Shanfang, Li Zeguang, Liu Zhaoyuan, Wang Kan, Ma Tao   +5 more
doaj   +1 more source

Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study

BMC Public Health, 2012
BackgroundAttrition is one of the major methodological problems in longitudinal studies. It can deteriorate generalizability of findings if participants who stay in a study differ from those who drop out.
Kristin Gustavson, T. von Soest, E. Karevold, E. Røysamb   +3 more
semanticscholar   +1 more source

Magnetically Actuated Drops‐on‐Stilts Microrobots for Transport and Delivery of Hydrophobic Cargo

Advanced Materials Interfaces, EarlyView.
Iron oxide nanoparticles and oil droplets in external magnetic fields form “drops‐on‐stilts” microrobots that transport hydrophobic cargo. Tunable nanoparticle–droplet interactions generate stilt‐like structures. Field rotation enables walking, obstacle navigation, and collective motion.
Oluwafemi Ligan, Hrishabh Singh, Sahil Kulkarni, Hong Huy Tran, James M. Kikkawa, Daeyeon Lee, Ravi Radhakrishnan, Edward Steager, Hyun Koo, Kathleen Stebe   +9 more
wiley   +1 more source

On the Numerical Stability of Simulation Methods for SDES [PDF]

When simulating discrete time approximations of solutions of stochastic differential equations (SDEs), numerical stability is clearly more important than numerical efficiency or some higher order of convergence.
Eckhard Platen, Lei Shi
core  

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

Teaching Monte Carlo Simulation in a Business Analytics Course

Spreadsheets in Education, 2021
This paper provides an example for teaching Monte Carlo simulation principles in a business analytics course. Specifically, this paper presents a spreadsheet-based Monte Carlo simulation model for a 90-day binary options investment horizon using the ...
David Perkins
doaj  

Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units.

Optics Express, 2009
We report a parallel Monte Carlo algorithm accelerated by graphics processing units (GPU) for modeling time-resolved photon migration in arbitrary 3D turbid media.
Q. Fang, D. Boas
semanticscholar   +1 more source

The Evolution of Laser‐Induced Damage Patterns in Polymer Stabilized Liquid Crystals: Insights From Morphological Characterization and Thermo‐Driven Simulations

Advanced Optical Materials, EarlyView.
A dual‐domain PSLC architecture enables direct comparison of alignment‐dependent laser damage within a single device. Crack‐like and seal‐like morphologies emerge under different damage conditions, and their evolution is interpreted through quantitative image analysis and heat‐driven simulations.
Dengcheng Chen, Zoey S. Davidson, Brian P. Radka, Selim Elhadj, Liang‐Chy Chien   +4 more
wiley   +1 more source

An enhanced Monte Carlo simulation–based design and optimization method and its application in the speed reducer design

Advances in Mechanical Engineering, 2017
Uncertainty-based design and optimization is becoming one of the research focuses for high safety of complex engineering systems. Evaluating failure probability is essential and necessary in uncertainty-based design and optimization. Reliability analysis
Rong Yuan, Haiqing Li, Zicheng Gong, Mingzhe Tang, Wei Li   +4 more
doaj   +1 more source