Elenco Pubblicazioni - Publications (1446)
Large increase of the thermoelectric power factor in multi-barrier nanodevices; A.Masci, E.Dimaggio, N.Neophytou, D.Narducci, G.Pennelli; doi.org/10.1016/j.nanoen.2024.110391; Nano Energy; 2024
Written by ANTONELLA MASCI
Improving the power factor (PF) of thermoelectric materials, crucial for enhancing the power output of thermoelectric generators, is challenging due to the adverse interdependence of the Seebeck coefficient and the electrical conductivity on carrier density.…
A. Barsotti, G. Procissi, C. Ciaramelletti, P. Marconcini, L. Guidoni, S. Paganelli, and M. Macucci, “Effect of phase noise in superconducting qubit control”, Annual Meeting of the SIE, 2024 (Accepted by Lecture Notes in Eleectrical Engineering)
Written by AGATA BARSOTTI
Quantum computer operations, called quantum gates, include qubit rotations, entanglement operations, and measurements, each of which is essential for the implementation of advanced quantum algorithms. However, the effect of phase noise in control operations has…
M.Forasassi, G.Bucchioni, L.Pollini "Vision-based relative navigation system for autonomous proximity orbital operations" Proceedings of IV Aerospace PhD-Days, vol. 42, pp. 150-153
Written by MATTEO FORASASSI
The paper presents the research project of the author, focused on developing, implementing and testing a vision based relative navigation system for spacecraft. A temporal organization of the project is presented, with tasks assigned to…
A. Barsotti, S. Di Pascoli and M. Macucci: "Noise Characterization and Optimization in a System for the Measurement of the Coherence Time of Superconducting Qubits," 2024 IEEE I2MTC 2024, pp. 1-6
Written by AGATA BARSOTTI
We present the development of a project for the reliable measurement of the dephasing times of superconducting qubits. Here we focus specifically on the relevance of the phase noise affecting the system and on the…
C. Bua, F. Fiorini, D. Adami, S. Giordano and M. Pagano, "Enhancing Climate Prediction in Smart Greenhouse: Synergy of Neural Network and Granular Computing to Reduce Computational Complexity" , IEEE MetroAgriFor 2024 . (Accepted)
Written by CRISTIAN BUA
In modern agriculture, controlled environment techniques like hydroponic greenhouses are becoming increasingly popular for their efficiency and higher crop yields. This paper presents a new method for predicting temperature and humidity in smart hydroponic greenhouses,…
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