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Quantitative modeling of betavoltaic microbattery performance

  • Kan Zhang
  • , Gui Gui
  • , Piyush Pathak
  • , Jung Hun Seo
  • , James P. Blanchard
  • , Zhenqiang Ma
  • University of Wisconsin-Madison

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

This paper presents a simulation model to predict the power generation of p-n junction-based betavoltaic devices. The model provides two key aspects of information for device evaluation: electron-hole pair generation rate and device power output. A Monte-Carlo model was used to simulate generation rate and the device performance was simulated using the generation rate with Synopsys® Medici. We investigated the effects of the temperature, semiconductor materials with different bandgap energies (Si, Ge and SiC) and different isotope sources (Ni-63 and tritium) on the performance of betavoltaic microbatteries. Our simulation results indicate that a homojunction structure with wide bandgap semiconductor is more favorable for betavoltaic device performance. A simple wide bandgap p-n junction cell with an embedded radioisotope source could be the most promising candidate for betavoltaic applications.

Original languageEnglish
Pages (from-to)131-137
Number of pages7
JournalSensors and Actuators A: Physical
Volume240
DOIs
StatePublished - Apr 1 2016

Keywords

  • Betavoltaic microbattery
  • Electron-hole pair generation rate
  • Monte Carlo simulation

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