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Dive into the research topics where Alessandro Boccolini is active.

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Featured researches published by Alessandro Boccolini.


Optics Letters | 2014

Self-absorption in upconverter luminescent layers: impact on quantum yield measurements and on designing optimized photovoltaic devices

Alessandro Boccolini; Jose Marques-Hueso; Bryce S. Richards

This Letter details a theoretical investigation of self-absorption within an upconverter (UC) material, consisting of trivalent erbium (Er3+)-doped hexagonal sodium yttrium fluoride (β-NaYF4) and its implications on two experimental situations: the case of a quantum yield measurement, and on the effective performance in a UC-enhanced photovoltaic (PV) device. The study demonstrates that an optimization of the thickness is essential in order to reduce the effect of self-absorption and maximize the possible additional photocurrent that could be harvested. It also has been found that the external photoluminescence quantum yield (ePLQY) measured through an integrating sphere may result in an underestimation with respect to the performance that the UC material could achieve in a UC-PV device. Finally, it has been found the optimal thickness and the molar concentration of Er3+ ions are inversely proportional, suggesting that an optimal number (1.3-2.9·10(17)) of Er3+ ions should be contained within the UC layer.


Optics Express | 2015

Highly efficient upconversion in Er3+ doped BaY2F8 single crystals: Dependence of quantum yield on excitation wavelength and thickness

Alessandro Boccolini; Elena Favilla; M. Tonelli; Bryce S. Richards; Robert R. Thomson

This manuscript presents a study of the upconversion (UC) in barium yttrium fluoride (BaY2F8) single crystal doped with trivalent erbium ions (Er3+) under excitation of the 4I(13/2) level at three different wavelengths: 1493 nm, 1524 nm and 1556 nm. The resulting UC emission at around 980 nm has been investigated and it has been found that a thickness optimization is required to reach high quantum yield values, otherwise limited by self-absorption losses. The highest external photoluminescence quantum yield (ePLQY) measured in this study was 12.1±1.2 % for a BaY2F8:30at%Er3+ sample of thickness 1.75±0.01 mm, while the highest internal photoluminescence quantum yield (iPLQY) of 14.6±1.5 % was measured in a BaY2F8:20at%Er3+ sample with a thickness of 0.49±0.01 mm. Both values were obtained under excitation at 1493 nm and an irradiance of 7.0±0.7 Wcm(-2). The reported iPLQY and ePLQY values are among the highest achieved for monochromatic excitation. Finally, the losses due to self-absorption were estimated in order to evaluate the maximum iPLQY achievable by the upconverter material. The estimated iPLQY limit values were ∼19%, ∼25% and ∼30%, for 10%, 20% and 30% Er3+ doping level, respectively.


Scientific Reports | 2018

Neural network identification of people hidden from view with a single-pixel, single-photon detector

Piergiorgio Caramazza; Alessandro Boccolini; Daniel Buschek; Matthias B. Hullin; Catherine F. Higham; Robert Henderson; Roderick Murray-Smith; Daniele Faccio

Light scattered from multiple surfaces can be used to retrieve information of hidden environments. However, full three-dimensional retrieval of an object hidden from view by a wall has only been achieved with scanning systems and requires intensive computational processing of the retrieved data. Here we use a non-scanning, single-photon single-pixel detector in combination with a deep convolutional artificial neural network: this allows us to locate the position and to also simultaneously provide the actual identity of a hidden person, chosen from a database of people (N = 3). Artificial neural networks applied to specific computational imaging problems can therefore enable novel imaging capabilities with hugely simplified hardware and processing times.


Optical Nanostructures and Advanced Materials for Photovoltaics 2013 | 2013

Progress Towards Enhancing the Performance of c-Si Photovoltaic Devices via Up-and Down-Conversion

Bryce S. Richards; Jose Marques-Hueso; Sean Kye Wallace MacDougall; Alessandro Boccolini; Jonathan Andrew Scott Morton; Eliyas Debebe Mammo; Georgios E. Arnaoutakis; Aruna Ivaturi

Spectral conversion can improve the performance of photovoltaic devices by matching the wavelengths of incident light to the bandgap of the solar cell. This work reports on materials optimization, novel characterization techniques and device approaches.


Optical Nanostructures and Advanced Materials for Photovoltaics | 2013

Optimization of thickness in luminescent down-conversion layers for photovoltaic applications

Alessandro Boccolini; Jose Marques-Hues; Daqin Chen; Yuansheng Wang; Bryce S. Richards

An optical model is presented determining the constraints imparted by self-absorption on the luminescence emitted from down-conversion materials. The model clarifies the origin of the disparity between theoretical and experimental efficiencies reported for some materials.


Solar Energy Materials and Solar Cells | 2014

Physical performance limitations of luminescent down-conversion layers for photovoltaic applications

Alessandro Boccolini; Jose Marques-Hueso; Daqin Chen; Yaoming Wang; Bryce S. Richards


arXiv: Optics | 2018

Computational time-of-flight diffuse optical tomography.

Ashley Lyons; Alessandro Boccolini; Francesco Tonolini; Audrey Repetti; Zhouye Chen; Robert D. Henderson; Yves Wiaux; Daniele Faccio


arXiv: Neurons and Cognition | 2018

Ghost imaging with the human eye.

Alessandro Boccolini; Alessandro Fedrizzi; Daniele Faccio


Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP) | 2018

Diffuse Time-of-flight Imaging with a Single-Photon Camera

Ashley Lyons; Alessandro Boccolini; Francesco Tonolini; Audrey Repetti; Zhouye Chen; Jonathan Leach; Robert D. Henderson; Yves Wiaux; Daniele Faccio


Rundbrief Der Gi-fachgruppe 5.10 Informationssystem-architekturen | 2017

Imaging Inside Highly Diffusive Media with a Space and Time-Resolving Single-Photon Sensor

Alessandro Boccolini; Francesco Tonolini; Jonathan Leach; Robert Henderson; Daniele Faccio

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Yves Wiaux

Heriot-Watt University

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Zhouye Chen

Heriot-Watt University

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