Enhance simulation capability of beta-voltaic micro battery using MCNPX-SILVACO hybrid code

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MALEKI P.; ETAATI GH.R.

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Journal Paper

Paper Information

Journal: JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY Year:2020 | Volume:41 | Issue:3 (93) Page(s): 37-44

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Title

Enhance simulation capability of beta-voltaic micro battery using MCNPX-SILVACO hybrid code

Author(s)

MALEKI P. | ETAATI GH.R. | Issue Writer Certificate

Keywords

Beta-voltaic micro batteryQ1

MCNPXQ1

ATLAS-SILVACOQ1

63Ni beta particles sourceQ1

Silicon semiconductorQ1

Abstract

The accuracy of each simulating beta-voltaic battery parameter is very important, especially in microbatteries. The aim of this study is to improve the calculation of beta-battery parameters’ accuracy. For this purpose, at first, using the Monte Carlo N-Particle code (MCNPX), the energy accumulation distribution of the 63Ni beta particle spectrum inside a Silicon semiconductor has been simulated. Then, the ATLAS C-Interpreter function in C ++ was defined, using one of the SILVACO code abilities (the parameter F. RADIATE BEAM statement). Finally, the device electric parameters have been obtained using ATLAS-SILVACO based on the location-dependent of MCNPX results. For validation, the calculations were performed for a battery sample made of 16 mm2 cross-section and 1 mCi activity of radioisotope 63Ni as a source, and finally, the results were compared with one experimental result and two analytical methods. The calculations repeated for the other sample with 100 mCi activity and 1 cm2 of geometry, and compared its results with an analytical method results. The results showed that the simulation of micro-battery characteristics by the MCNPX-SILVACO hybrid code using threedimensional electron-hole pairs’ distribution in semiconductor and the full spectrum of beta particles creates a significant increase in the accuracy of the computation, and provides a good capability to optimize the design of the battery.

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APA: Copy

MALEKI, P., & ETAATI, GH.R.. (2020). Enhance simulation capability of beta-voltaic micro battery using MCNPX-SILVACO hybrid code. JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY, 41(3 (93) ), 37-44. SID. https://sid.ir/paper/409223/en

Vancouver: Copy

MALEKI P., ETAATI GH.R.. Enhance simulation capability of beta-voltaic micro battery using MCNPX-SILVACO hybrid code. JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY[Internet]. 2020;41(3 (93) ):37-44. Available from: https://sid.ir/paper/409223/en

IEEE: Copy

P. MALEKI, and GH.R. ETAATI, “Enhance simulation capability of beta-voltaic micro battery using MCNPX-SILVACO hybrid code,” JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY, vol. 41, no. 3 (93) , pp. 37–44, 2020, [Online]. Available: https://sid.ir/paper/409223/en

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