journal article·2020-10-21

Perovskite Color Detectors: Approaching the Efficiency Limit

Mohammad Ismail Hossain, Haris Ahmad Khan, Masayuki Kozawa, Wayesh Qarony, Alberto Salleo, Jon Yngve Hardeberg, Hiroyuki Fujiwara, Yuen Hong Tsang, Dietmar Knipp

ACS Applied Materials & Interfaces· Volume 12· Issue 42
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Abstract

Color image sensing by a smartphone or digital camera employs sensor elements with an array of color filters for capturing basic blue, green, and red color information. However, the normalized optical efficiency of such color filter-based sensor elements is limited to only one-third. Optical detectors based on perovskites are described, which can overcome this limitation. An efficient color sensor design has been proposed in this study that uses a vertically stacked arrangement of perovskite diodes. As compared to the conventional color filter-based sensors, the proposed sensor structure can potentially reach normalized optical efficiency approaching 100%. In addition, the proposed sensor design does not exhibit color aliasing or color Moiré effects, which is one of the main limitations for the filter-based sensors. Furthermore, up to our knowledge, for the first time, it could be theoretically shown that both vertically arranged sensor and conventional color filter-based sensor provide almost comparable color errors. The optical properties of the perovskite materials are determined by optical measurements in combination with an energy shift model. The optics of the stacked perovskite sensors is investigated by threedimensional finite-difference timedomain simulations. Finally, colorimetric characterization was carried out to determine the color error of the sensors.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Transition Metal Oxide Nanomaterials · Infrared Target Detection Methodologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Applied Physics and Materials Research Center, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong

Shenzhen Research Institute, The Hong Kong Polytechnic University, 518057 Shenzhen, China

Department of Materials Science and Engineering, City University of Hong Kong (CityU), Kowloon, Hong Kong

Farm Technology Group, Wageningen University & Research, Wageningen 6700 HB, The Netherlands

Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan

Electrical and Computer Engineering, University of California—Davis, Davis, California 95618, United States

Geballe Laboratory for Advanced Materials, Department of Materials Science and Engineering, Stanford University, Stanford 94305, United States

The Norwegian Colour and Visual Computing Laboratory, NTNU-Norwegian University of Science and Technology, Gjøvik 2815, Norway

Funding

Research Grants Council, University Grants Committee · Science and Technology Commission of Shanghai Municipality · Hong Kong Polytechnic University

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