Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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IMEC

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Image sensors using thin-film absorbers8citations
  • 2017Thin and spherical-cap-shaped LCD with a flexible thin-film driver for use in a smart contact lenscitations
  • 2008AlGaN photodetectors for applications in the extreme ultraviolet (EUV) wavelength range6citations

Places of action

Chart of shared publication
Genoe, Jan
2 / 14 shared
Gehlhaar, Robert
2 / 9 shared
Willegems, Myriam
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De Roose, Florian
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Dehaene, W.
1 / 1 shared
Ameys, Marc
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Smout, Steve
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Poduval, Radhika Kallidil
1 / 1 shared
Steudel, Soeren
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Myny, Kris
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De Smet, Jelle
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Chen, Xinyu
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Smet, Herbert De
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Duboz, Jean Yves
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Cheng, Kai
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2023
2017
2008

Co-Authors (by relevance)

  • Genoe, Jan
  • Gehlhaar, Robert
  • Willegems, Myriam
  • De Roose, Florian
  • Dehaene, W.
  • Ameys, Marc
  • Smout, Steve
  • Poduval, Radhika Kallidil
  • Steudel, Soeren
  • Myny, Kris
  • De Smet, Jelle
  • Chen, Xinyu
  • Smet, Herbert De
  • Vásquez Quintero, Andrés
  • Derluyn, Joff
  • Borghs, Gustaaf
  • Mertens, Robert
  • Hochedez, Jean-François
  • Benmoussa, A.
  • John, Joachim
  • Lorenz, Anne
  • Aparicio Alonso, Patricia
  • Semond, Fabrice
  • Germain, Marianne
  • Duboz, Jean Yves
  • Cheng, Kai
OrganizationsLocationPeople

article

Image sensors using thin-film absorbers

  • Georgitzikis, Epimitheas
  • Genoe, Jan
  • Roose, Florian De
  • Papadopoulos, Nikolas
  • Gehlhaar, Robert
  • Vershooten, Tom
  • Li, Yunlong
  • Siddik, Abu Bakar
  • Hermans, Yannick
  • Lim, Myung Jin
  • Basak, Shreya
  • Soussan, Philippe
  • Cheyns, David
  • Monroy, Isabel Pintor
  • Siskos, Aris
  • Thijs, Steven
  • Chandrasekaran, Naresh
  • Kim, Joo Hyoung
  • Song, Wenya
  • Pejović, Vladimir
  • Hagelsieb, Luis Moreno
  • Heremans, Paul
  • Lee, Jiwon
  • Lieberman, Itai
  • Malinowski, Pawel E.
Abstract

<jats:p>Image sensors are must-have components of most consumer electronics devices. They enable portable camera systems, which find their way into billions of devices annually. Such high volumes are possible thanks to the complementary metal-oxide semiconductor (CMOS) platform, leveraging wafer-scale manufacturing. Silicon photodiodes, at the core of CMOS image sensors, are perfectly suited to replicate human vision. Thin-film absorbers are an alternative family of photoactive materials, distinguished by the layer thickness comparable with or smaller than the wavelength of interest. They allow design of imagers with functionalities beyond Si-based sensors, such as transparency or detectivity at wavelengths above Si cutoff (e.g., short-wave infrared). Thin-film image sensors are an emerging device category. While intensive research is ongoing to achieve sufficient performance of thin-film photodetectors, to our best knowledge, there have been few complete studies on their integration into advanced systems. In this paper, we will describe several types of image sensors being developed at imec, based on organic, quantum dot, and perovskite photodiode and show their figures of merit. We also discuss the methodology for selecting the most appropriate sensor architecture (integration with thin-film transistor or CMOS). Application examples based on imec proof-of-concept sensors are demonstrated to showcase emerging use cases.</jats:p>

Topics
  • perovskite
  • impedance spectroscopy
  • semiconductor
  • Silicon
  • quantum dot