Novel target design algorithm for two-dimensional optical storage (TwoDOS)

Author(s):  
Li Huang ◽  
Tow Chong Chong
AIP Advances ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. 095018 ◽  
Author(s):  
Malay Dalui ◽  
M. Kundu ◽  
Sheroy Tata ◽  
Amit D. Lad ◽  
J. Jha ◽  
...  

Author(s):  
Kikuo Fujita ◽  
Shintaro Yamasaki ◽  
Masayuki Kawamoto

In this study, we propose a hierarchical optimization-based approach for two-dimensional rectangular layout design problems. Decomposition-based optimization has been a key approach for complicated design problems in multidisciplinary design optimization (MDO), but the main focus has been design problems where the design variables are continuous. On the other hand, various approaches have been developed for layout design based on evolutionary algorithms, e.g., simulated annealing (SA) and genetic algorithms (GAs) which can handle its combinatorial nature in an effective manner. In the present study, we aim to introduce a new paradigm by combining decomposition-based optimization and evolutionary algorithms for solving complicated layout design problems. In this approach, the original layout problem is decomposed into the top-level layout problem and a set of sublevel layout problems, where the layouts obtained from the sublevel problems are used as components of the top-level problem. Since the preferable shapes of these components are unclear when the sublevel problems are solved, a set of Pareto optima are provided in the sublevel problems and these solutions are used as candidate components in the top-level problem. A computational design algorithm is developed based on this approach, which represents the layout topology with sequence pair and the shape of each subsystem or component with the aspect ratio, and they are optimized using GAs. The Pareto optimality of the sublevels is handled by multi-objective GAs, and a set of Pareto optima is generated simultaneously. The top-level and sublevel layout problems are coordinated via the exchange of preferable ranges for the shapes and layout. This approach was implemented and applied to an example problem to demonstrate its performance and capability.


Author(s):  
Zephyr Liu ◽  
Eitan Hajaj ◽  
Ira Naot ◽  
Raviv Yohanan ◽  
Yoav Grauer
Keyword(s):  

2021 ◽  
Author(s):  
Luis Fernando Salas-Tapia ◽  
Tian Zhang

Abstract Nuclear reactors, cyclotrons and generators are being used to produce nuclear medicine radionuclides. Radiopharmaceuticals based on Gallium-68 are widely used both experimentally and clinically in Positron Emission Tomography (PET). Currently Ga-68 is mainly produced via 68Ge/68Ga generators, which are expensive. An alternative method is by cyclotron using high enriched Zinc-68 via the 68Zn(p,n)68Ga reaction. Investigations have been conducted for producing Ga-68 using a solid target impacted with a proton beam in energies between (13–14) MeV or higher. The main interest of this work is to produce Ga-68 using energies within a lower range, therefore Ga-68 can be accessed to locations with cyclotrons of lower energy. In this article, an approach to a novel target design to get Ga-68 with low energy protons is conducted. Adequate shielding to avoid extra doses outer the cyclotron is also considered. Monte Carlo code FLUKA is used to simulate the processes of interaction of radiation with matter and the radioactive isotope production. For a beam energy of 11 MeV and current on target of 40 μA the simulated produced activity is about 69.1 GBq. The results show the feasibility of producing Ga-68 with low energy protons and self-shielding system guarantees the regulation-based dose exposition outer the cyclotron.


1989 ◽  
Vol 34 (7) ◽  
pp. 859-873 ◽  
Author(s):  
K Murase ◽  
M Ishine ◽  
M Kawamura ◽  
S Tanada ◽  
A Iio ◽  
...  

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