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Opis

Reliability modeling and parametric yield prediction of GaAs/AlGaAs multiple quantum well (MQW) avalanche photodiodes (APDs), which are of interest as an ultra-low noise image capture mechanism for high definition systems, have been investigated. First, the effect of various doping methods on the reliability of GaAs/AlGaAs multiple quantum well (MQW) avalanche photodiode (APD) structures fabricated by molecular beam epitaxy is investigated. Reliability is examined by accelerated life tests by monitoring dark current and breakdown voltage. Median device lifetime and the activation energy of the degradation mechanism are computed for undoped, doped-barrier, and doped-well APD structures. Lifetimes for each device structure are examined via a statistically designed experiment. Analysis of variance shows that dark-current is affected primarily by device diameter, temperature and stressing time, and breakdown voltage depends on the diameter, stressing time and APD type. It is concluded that the undoped APD has the highest reliability, followed by the doped well and doped barrier devices, respectively. To determine the source of the degradation mechanism for each device structure, failure analysis using the electron-beam induced current method is performed. This analysis reveals some degree of device degradation caused by ionic impurities in the passivation layer, and energy-dispersive spectrometry subsequently verified the presence of ionic sodium as the primary contaminant. However, since all device structures are similarly passivated, sodium contamination alone does not account for the observed variation between the differently doped APDs. This effect is explained by the dopant migration during stressing, which is verified by free carrier concentration measurements using the capacitance-voltage technique.

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Kategoria Książki po angielsku Society & social sciences Education

• Pełny tytuł: Acoustic Charge Transport Imager for High Definition Television Applications
• Podtytuł: Reliability Modeling and Parametric Yield Prediction of GAAS Multiple Quantum Well Avalanche Photodiodes
• Autor: W D Hunt
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 178
• EAN: 9781288915514
• ISBN: 9781288915514
• ID: 08287344
• Wydawca: Biblioscholar
• Waga: 327 g
• Wymiary: 246 × 189 × 10 mm
• Data wydania: 01. March 2013

Ulubione w innej kategorii

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