scholarly journals Generalized optical design and optimization of multipass cells with independent circle patterns based on the Monte Carlo and Nelder-Mead simplex algorithms

2021 ◽  
Author(s):  
Jiahao Liu ◽  
Yuze Chen ◽  
Lin Xu ◽  
Rong Kong ◽  
peng liu ◽  
...  
2014 ◽  
Vol 1070-1072 ◽  
pp. 357-360
Author(s):  
Dao Xiang Shen ◽  
Yao Li Zhang ◽  
Qi Xun Guo

A travelling wave reactor (TWR) is an advanced nuclear reactor which is capable of running for decades given only depleted uranium fuel, it is considered one of the most promising solutions for nonproliferation. A preliminary core design was proposed in this paper. The calculation was performed by Monte Carlo method. The burning mechanism of the reactor core design was studied. Optimization on the ignition zone was performed to reduce the amount of enriched uranium initially deployed. The results showed that the preliminary core design was feasible. The optimization analysis showed that the amount of enriched uranium could be reduced under rational design.


2018 ◽  
Vol 175 ◽  
pp. 09008
Author(s):  
Claudio Bonati ◽  
Enrico Calore ◽  
Simone Coscetti ◽  
Massimo D’Elia ◽  
Michele Mesiti ◽  
...  

Varying from multi-core CPU processors to many-core GPUs, the present scenario of HPC architectures is extremely heterogeneous. In this context, code portability is increasingly important for easy maintainability of applications; this is relevant in scientific computing where code changes are numerous and frequent. In this talk we present the design and optimization of a state-of-the-art production level LQCD Monte Carlo application, using the OpenACC directives model. OpenACC aims to abstract parallel programming to a descriptive level, where programmers do not need to specify the mapping of the code on the target machine. We describe the OpenACC implementation and show that the same code is able to target different architectures, including state-of-the-art CPUs and GPUs.


1975 ◽  
Vol 19 (2) ◽  
pp. 187-192 ◽  
Author(s):  
Gerald F. Rabideau ◽  
Rickie H. Luk

In this paper, a computer algorithm for the design and optimization of workplace layout is presented. Known as WOLAP ( Workplace Optimization and LAyout Planning), this algorithm attempts to include many, if not all, relevant human factors variables and design-constraining factors, and it utilizes a unified Monte Carlo approach. The results obtained to date with WOLAP appear to be as valid and accurate as those obtained with other promising approaches. One obvious advantage of WOLAP is that many quantitatively optimized solutions can be obtained at the same time. This permits designers to consider and evaluate various mathematically optimal alternatives against any pertinent qualitative criteria, e.g. human engineering principles of arrangement, to come up with the best possible and technically feasible design in a relatively short time. Currently, WOLAP is capable of handling up to thirty instrument-components. Its program and data can easily be handled by most small computers.


Solar Energy ◽  
2020 ◽  
Vol 201 ◽  
pp. 84-91 ◽  
Author(s):  
Weichuang Yang ◽  
Zhenhai Yang ◽  
Chunhui Shou ◽  
Jiang Sheng ◽  
Baojie Yan ◽  
...  

2009 ◽  
Vol 40 (1) ◽  
pp. 823 ◽  
Author(s):  
Fu-Chen Fan ◽  
Chin-Yen Chen ◽  
Hsu-Sheng Hsu ◽  
Chih-Wei Chen

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