4.6 Article

Charged-particle induced radioluminescence in nanoclusters of CsPbBr3 perovskite quantum dots

Journal

MATERIALS LETTERS
Volume 289, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.matlet.2021.129398

Keywords

Perovskite; Quantum dots; Radioluminescence; alpha-Particles; Particle-detection; Pulse digitization

Funding

  1. European Union [GINOP-2.3.2-15-2016-00041, GINOP-2.3.3-15-2016-00029]
  2. European Regional Development Fund [GINOP-2.3.2-15-2016-00041, GINOP-2.3.3-15-2016-00029]
  3. Szechenyi 2020 Program [VKSZ_14-1-2015-0021]
  4. Bolyai Janos Research Scholarship of the Hungarian Academy of Sciences

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Charged-particle induced radioluminescence of CsPbBr3 perovskite quantum dots in their clustered state was investigated using alpha-particles, with analysis suggesting the potential of perovskite nanomaterials in precise timing applications. Comparative measurements with conventional scintillators demonstrated advantages of perovskite QDs in terms of time-resolved waveforms and detection efficiency.
Charged-particle induced radioluminescence (RL) of CsPbBr3 (CPB) perovskite quantum dots (QD) in their clustered state was investigated using alpha-particles from a radiation source. The RL response was analyzed with photomultiplier tubes (PMT) combined with the pulse-digitization technique, which enabled the evaluation of time-resolved waveforms for individual alpha-radiation events. The rising and decay transition times of electric pulses were found very close to the instrumental limitation, while orders of magnitude shorter than typically measured in conventional inorganic scintillators. Based on the statistical analysis of timing characteristics, our study assessed the potentials of employing perovskite nanomaterials in precise timing applications as demonstrated in a comparative measurement with a CsI(Tl) scintillator. The distribution of pulse charge was converted to luminescence intensities, which were fitted with Monte Carlo simulations giving an estimate of 2.95 photon/keV for the RL yield and 29.2% for detection efficiency (DE), referring to our mean cluster thickness of 5 QD layers. (C) 2021 The Author(s). Published by Elsevier B.V.

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