journal article·2021-03-23Open access

Ultrasensitive 3D Aerosol-Jet-Printed Perovskite X-ray Photodetector

Anastasiia Glushkova, Pavao Andričević, Rita Smajda, Bálint Náfrádi, Márton Kollár, Veljko Djokić, Alla Arakcheeva, László Forró, Raphael Pugin, Endre Horváth

ACS Nano· Volume 15· Issue 3

Abstract

X-ray photon detection is important for a wide range of applications. The highest demand, however, comes from medical imaging, which requires cost-effective, high-resolution detectors operating at low-photon flux, therefore stimulating the search for novel materials and new approaches. Recently, hybrid halide perovskite CH3NH3PbI3 (MAPbI3) has attracted considerable attention due to its advantageous optoelectronic properties and low fabrication costs. The presence of heavy atoms, providing a high scattering cross-section for photons, makes this material a perfect candidate for X-ray detection. Despite the already-successful demonstrations of efficiency in detection, its integration into standard microelectronics fabrication processes is still pending. Here, we demonstrate a promising method for building X-ray detector units by 3D aerosol jet printing with a record sensitivity of 2.2 × 108 μC Gyair–1 cm–2 when detecting 8 keV photons at dose rates below 1 μGy/s (detection limit 0.12 μGy/s), a 4-fold improvement on the best-in-class devices. An introduction of MAPbI3-based detection into medical imaging would significantly reduce health hazards related to the strongly ionizing X-rays’ photons.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Luminescence Properties of Advanced Materials · ZnO doping and properties

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

Affiliations

Laboratory of Physics of Complex Matter (LPMC), Ecole Polytechnique Fédérale de Lausanne, Centre Est, Station 3, CH-1015 Lausanne, Switzerland

Centre Suisse d’Electronique et de Microtechnique (CSEM SA), CH-2002 Neuchatel, Switzerland

Funding

H2020 European Research Council

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