Surface passivation of InAs avalanche photodiodes for low-noise infrared imaging

The effect of surface passivation on the etched-mesa InAs diodes was investigated by carrying out the fabrication and passivation of InAs diodes. Extensive and detailed current-voltage characterization was done to determine the most suitable type of insulating material for the surface passivation. S...

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Main Authors: Ker, P.J., Marshall, A.R.J., Tan, C.H., David, J.P.R.
Format: Conference Proceeding
Language:en_US
Published: 2017
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spelling my.uniten.dspace-59742018-02-07T02:17:42Z Surface passivation of InAs avalanche photodiodes for low-noise infrared imaging Ker, P.J. Marshall, A.R.J. Tan, C.H. David, J.P.R. The effect of surface passivation on the etched-mesa InAs diodes was investigated by carrying out the fabrication and passivation of InAs diodes. Extensive and detailed current-voltage characterization was done to determine the most suitable type of insulating material for the surface passivation. SU-8, silicon nitride, silicon dioxide and B-staged Bisbenzocyclobutene were used for the purpose of minimizing the conductivity of the etched mesa surface of InAs diodes. The forward- and reverse-biased characteristics of InAs diodes were measured at room temperature and 77 K in order to carefully investigate the effect of different surface passivation schemes. The results of this work categorically indicated that SU-8 is the most effective surface passivation material for InAs diodes, whereas silicon nitride and silicon dioxide have contributed to an even higher surface leakage current. Furthermore, SU-8 passivated InAs diodes were more sustainable to high bias voltages and its robustness increases the opportunity of its utilization for practical applications such as infrared imaging. © 2016 IEEE. 2017-12-08T07:48:10Z 2017-12-08T07:48:10Z 2016 Conference Proceeding 10.1109/ICP.2016.7510018 en_US In 2016 IEEE 6th International Conference on Photonics, ICP 2016 [7510018] Institute of Electrical and Electronics Engineers In
institution Universiti Tenaga Nasional
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country Malaysia
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language en_US
description The effect of surface passivation on the etched-mesa InAs diodes was investigated by carrying out the fabrication and passivation of InAs diodes. Extensive and detailed current-voltage characterization was done to determine the most suitable type of insulating material for the surface passivation. SU-8, silicon nitride, silicon dioxide and B-staged Bisbenzocyclobutene were used for the purpose of minimizing the conductivity of the etched mesa surface of InAs diodes. The forward- and reverse-biased characteristics of InAs diodes were measured at room temperature and 77 K in order to carefully investigate the effect of different surface passivation schemes. The results of this work categorically indicated that SU-8 is the most effective surface passivation material for InAs diodes, whereas silicon nitride and silicon dioxide have contributed to an even higher surface leakage current. Furthermore, SU-8 passivated InAs diodes were more sustainable to high bias voltages and its robustness increases the opportunity of its utilization for practical applications such as infrared imaging. © 2016 IEEE.
format Conference Proceeding
author Ker, P.J.
Marshall, A.R.J.
Tan, C.H.
David, J.P.R.
spellingShingle Ker, P.J.
Marshall, A.R.J.
Tan, C.H.
David, J.P.R.
Surface passivation of InAs avalanche photodiodes for low-noise infrared imaging
author_facet Ker, P.J.
Marshall, A.R.J.
Tan, C.H.
David, J.P.R.
author_sort Ker, P.J.
title Surface passivation of InAs avalanche photodiodes for low-noise infrared imaging
title_short Surface passivation of InAs avalanche photodiodes for low-noise infrared imaging
title_full Surface passivation of InAs avalanche photodiodes for low-noise infrared imaging
title_fullStr Surface passivation of InAs avalanche photodiodes for low-noise infrared imaging
title_full_unstemmed Surface passivation of InAs avalanche photodiodes for low-noise infrared imaging
title_sort surface passivation of inas avalanche photodiodes for low-noise infrared imaging
publishDate 2017
_version_ 1644493812921270272
score 13.160551