Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Optimization of Mesa Structured InGaAs Based Photodiode Arrays
Date
2017-04-13
Author
Dolas, M. Halit
Çırçır, Kübra
Kocaman, Serdar
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
247
views
0
downloads
Cite This
We design lattice matched InP/In0.53Ga0.47As mesa structured heterojunction p-n photodiodes with a novel passivation methodology based on a fully depleted thin p-InP layer. Mesa-structured detectors are targeted due to their competitive advantages for applications such as multicolor/hyperspectral imaging. Test detector pixels with different perimeter/area ratios are fabricated with and without etching thin InP passivation layer between pixels in order to comparatively examine passivating behavior. I-V characteristics of the test detectors are measured at room temperature. Based on the results from different sized pixel groups, bulk and surface dark current components are separated. Results show that thin InP layer decreases dark current by a factor of 3 while increasing photo current due to a higher carrier collection efficiency.
Subject Keywords
SWIR
,
P-n diodes
,
InP passivation
,
In-device passivation
,
InGaAs
,
Heterojunction
,
Fully depleted passivation
URI
https://hdl.handle.net/11511/30465
DOI
https://doi.org/10.1117/12.2262499
Conference Name
Conference on Image Sensing Technologies - Materials, Devices, Systems, and Applications IV
Collections
Graduate School of Natural and Applied Sciences, Conference / Seminar
Suggestions
OpenMETU
Core
Fully Depleted InP Nano-Layer for In-Device Passivation of InGaAs SWIR Detectors
Dolas, M. Halit; Kocaman, Serdar (2017-12-01)
We designed a p-n InGaAs/InP heterojunction photodiode with a novel passivation approach that employs a thin and fully depleted in-device (embedded in the p-n structure) p-InP layer. We comparatively characterized mesa-type detector pixels and experimentally observed expected passivating behavior. Characterization results under illumination indicated that fully depleted p-InP layer increases photo-current as well due to increasing device active area. Dark current analysis of detector pixels with different a...
Linear static analysis of large structural models on pc clusters
Özmen, Semih; Toker, Kurç; Department of Civil Engineering (2009)
This research focuses on implementing and improving a parallel solution framework for the linear static analysis of large structural models on PC clusters. The framework consists of two separate programs where the first one is responsible from preparing data for the parallel solution that involves partitioning, workload balancing, and equation numbering. The second program is a fully parallel nite element program that utilizes substructure based solution approach with direct solvers. The first step of data...
Performance-based parametric design explorations: A method for generating appropriate building components
Ercan, Burak; Elias Özkan, Soofia Tahira (2015-05-01)
Performance-based parametric design explorations depend on formulating custom-designed workflows that require reading, writing, interpreting and manipulating databases, as part of the design process. The possibilities of customization and parameterization offered by the user-friendly interfaces of advanced building-performance simulation software and digital design tools have now enabled architects to carry out performance-based design explorations without the help of simulation experts. This paper presents...
Learning Smooth Pattern Transformation Manifolds
Vural, Elif (2013-04-01)
Manifold models provide low-dimensional representations that are useful for processing and analyzing data in a transformation-invariant way. In this paper, we study the problem of learning smooth pattern transformation manifolds from image sets that represent observations of geometrically transformed signals. To construct a manifold, we build a representative pattern whose transformations accurately fit various input images. We examine two objectives of the manifold-building problem, namely, approximation a...
Optimization of nanoparticle arrays to design efficient couplers for plasmonic nanowire networks
Altınoklu, Aşkın; Ergül, Özgür Salih; Department of Electrical and Electronics Engineering (2019)
In this thesis, a novel optimization strategy for design and optimization of efficient couplers to improve nano-optical links in complex plasmonic nanowire networks is presented. Various cases involving alternative combinations of nanowire transmission lines with different types and lengths are considered. As the optimization environment, a full-wave solver based on surface integral equations and the multilevel fast multipole algorithm (MLFMA) developed for efficient and accurate solutions of plasmonic prob...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. H. Dolas, K. Çırçır, and S. Kocaman, “Optimization of Mesa Structured InGaAs Based Photodiode Arrays,” Anaheim, CA, 2017, vol. 10209, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30465.