1. 厦门大学物理与机电工程学院
2. 厦门大学萨本栋微米纳米科学技术研究院
纸质出版:2013
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[1]笪凯,戴昌鸿,郭航.应用Monte Carlo方法对GaN基微型核电池的研究[J].传感器与微系统,2013,32(07):11-14+17.
DA Kai1, DAI Chang-hong1, GUO Hang1. Study of GaN betavoltaic microbattery using Monte Carlo method[J]. 2013, 32(7): 11-14+17.
[1]笪凯,戴昌鸿,郭航.应用Monte Carlo方法对GaN基微型核电池的研究[J].传感器与微系统,2013,32(07):11-14+17. DOI: 10.13873/j.1000-97872013.07.013.
DA Kai1, DAI Chang-hong1, GUO Hang1. Study of GaN betavoltaic microbattery using Monte Carlo method[J]. 2013, 32(7): 11-14+17. DOI: 10.13873/j.1000-97872013.07.013.
应用Monte Carlo方法
建立了电子入射到半导体材料中的路径模型。基于此模型进行仿真
可以得到电子在半导体材料中的穿透深度和能量分布。对以同位素Ni—63为放射源的GaN基PN结微型核电池进行Monte Carlo分析
得出入射电子在GaN中的穿透路径和能量分布
以确定入射电子在GaN中能量最集中的位置
将GaN基PN结的结深设置在该位置可以大幅提高收集效率
进而提高输出功率与能量转换效率。实验中
分别制备了结深为1000
450nm
放射源为Ni—63的GaN基微型核电池
测试结果验证了经优化结深为450 nm的微型核电池其电学输出性能有明显提高
能量转换效率达到了1.47%
输出功率达到了微瓦级。该结果可以为GaN基微型核电池的设计与制造提供有效的参考依据。
A trajectory model of incident electrons in semiconductor materials is built using Monte Carlo method
and based on this model
simulation can be carried out to achieve penetration depth and energy distribution of incident electrons in semiconductors.GaN PN junction betavoltaic microbatteries using radioisotopes Ni—63 as sources are studied to obtain the penetration path and energy distribution of incident electrons into GaN.The area where the beta energy is concentrated in GaN can be shown by analyzing simulation result
and the collection efficiency of beta energy can be highly increased if the PN junction depth of the GaN microbattery is set near the depth where the beta energy is concentrated.Experimentally
GaN betavoltaic microbatteries using Ni—63 as source
with depth of junction is 1 000
450 nm separately
are fabricated and tested
and the result shows that the electrical output performance of the microbattery is greatly improved when the microbattery has its junction depth optimized by Monte Carlo method.The energy conversion efficiency of the developed GaN microbattery is tested as 1.47 % and output power is in the scale of microwatt.The result can provide effective reference for design and fabrication of GaN beta-voltaic microbattery.
Optimization design and analysis of Si- 63 Ni betavoltaic battery [J]. TANG XiaoBin, DING Ding, LIU YunPeng & CHEN Da Department of Nuclear Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. Science China(Technological Sciences) . 2012(04)
Development of diode junction nuclear battery using 63 Ni [J] . B. Ulmen,P. D. Desai,S. Moghaddam,G. H. Miley,R. I. Masel. Journal of Radioanalytical and Nuclear Chemistry . 2009 (2)
Monte Carlo simulation of electron-solid interactions in cement-based materials [J] . H.S. Wong,N.R. Buenfeld. Cement and Concrete Research . 2006 (6)
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