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    Chapter and Conference Paper

    Light Absorbing Diamond for Solar Energy Conversion

    High-temperature solar cells are possible by exploiting the Photon-Enhanced Thermionic Emission (PETE) concept, which represents a novel and very attractive mechanism for the exploitation of solar radiation, e...

    S. Orlando, A. Bellucci, M. Girolami, M. Mastellone in Quantum Nano-Photonics (2018)

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    Chapter and Conference Paper

    UV Laser Beam Profilers Based on CVD Diamond

    1D and 2D detector arrays have been realized on 270 μm thick 10 × 10 mm2 CVD diamond samples. The relatively high resistivity of diamond specimens in the dark (>3 × 1012 Ωcm) allowed the fabrication of photocondu...

    M. Girolami, P. Allegrini, G. Conte, S. Salvatori in Sensors and Microsystems (2010)

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    Chapter and Conference Paper

    UV Schottky Sensors Based on Wide Bandgap Semiconductors

    Planar Al/GaN/Ni Schottky diodes were realized on GaN films deposited on sapphire substrates and characterized in the dark and under illumination. The optoelectronic characteristics of GaN photodetectors appea...

    P. Allegrini, P. Calvani, M. Girolami, G. Conte, M. C. Rossi in Sensors and Microsystems (2010)

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    Chapter and Conference Paper

    Photoconductive Position Sensitive CVD Diamond Detectors

    Different contact structures were studied to realize CVD-diamond sensors able to detect light beam displacements. Photons irradiate the sample backside where a mesh contact is used for device biasing. Photogen...

    M. Girolami, P. Allegrini, G. Conte, S. Salvatori in Sensors and Microsystems (2010)

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    Chapter and Conference Paper

    Principal Components Identify MLP Hidden Layer Size for Optimal Generalisation Performance

    One of the major concerns when implementing a supervised artificial neural network solution to a classification or prediction problem, is the network’s performance on unseen data. The phenomenon of the network...

    M. Girolami in Artificial Neural Nets and Genetic Algorithms (1998)

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    Chapter and Conference Paper

    Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis

    It has been shown experimentally that Oja’s nonlinear principal component analysis (PCA) algorithm is capable of performing an independent component analysis (ICA) on a specific data set [7]. However, the dyna...

    M. Girolami, C. Fyfe in Artificial Neural Nets and Genetic Algorithms (1998)