DocumentCode
2671932
Title
Determination of the electric field distribution within multi-quantum-well light emitting diodes by the use of electron beam induced methods
Author
Geinzer, T. ; Heiderhoff, R. ; Balk, L.J.
Author_Institution
Dept. of Electron., Fac. of Electr., Inf. & Media Eng., Univ. of Wuppertal, Wuppertal, Germany
fYear
2009
fDate
26-30 April 2009
Firstpage
796
Lastpage
800
Abstract
Dynamic electron beam induced methods are applied to determine the local electrical field distribution of devices with small depletion regions. The dissipation volume generated by the electron beam is much larger than the depletion region during these investigations. The frequency behavior of the electron beam induced signal must be analyzed in order to determine the field strength accurately. The characteristics of the in-phase and quadrature components are discussed for lock-in detection in the frequency domain. Additionally, change of the collection efficiency due to the depletion region widening effect at different biasing conditions has to be taken into account. The advantage and possibility of this technique are demonstrated exemplarily for a commercial multi-quantum-well light emitting diode.
Keywords
electric fields; electron beams; frequency-domain analysis; light emitting diodes; quantum well devices; dynamic electron beam induced method; electric field distribution; field strength; frequency domain analysis; lock-in detection; multiquantum-well light emitting diodes; small depletion region; Capacitance; Electrical resistance measurement; Electron beams; Energy dissipation; Frequency domain analysis; Frequency measurement; Light emitting diodes; Scanning electron microscopy; Signal analysis; Voltage; electric field distribution; electron beam induced methods; frequency behavior; multi-quantum-well LED;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability Physics Symposium, 2009 IEEE International
Conference_Location
Montreal, QC
ISSN
1541-7026
Print_ISBN
978-1-4244-2888-5
Electronic_ISBN
1541-7026
Type
conf
DOI
10.1109/IRPS.2009.5173352
Filename
5173352
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