The role of SiO2 buffer layer in the molecular beam epitaxy growth of CsPbBr3 perovskite on Si(111)

Autor: Paola De Padova, Carlo Ottaviani, Bruno Olivieri, Yurii P. Ivanov, Giorgio Divitini, Aldo Di Carlo

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)

Abstract Here we present the growth of molecular beam epitaxy (MBE) CsPbBr3 perovskite films in the orthorhombic crystal structure, with unique structural and morphological properties. CsPbBr3 MBE perovskite films, with thickness ranging from a few n

Externí odkaz: https://doaj.org/article/643cb17014464961874e437f3f7b4067

Road infrastructure maintenance: Operative method for interventions’ ranking

Autor: Fabio Borghetti, Ginevra Beretta, Nicola Bongiorno, Matteo De Padova

Publikováno v: Transportation Research Interdisciplinary Perspectives, Vol 25, Iss , Pp 101100- (2024)

Planned maintenance of transportation infrastructure is a milestone in maintaining the functionality and safety of road networks. This paper is part of this process and aims to propose an easily applicable and versatile operational methodology for pr

Externí odkaz: https://doaj.org/article/d438819a9adc4004a9c8a4be686b7c4a

INTEGRAL reloaded: spacecraft, instruments and ground system

Autor: Kuulkers, Erik, Ferrigno, Carlo, Kretschmar, Peter, Alfonso-Garzon, Julia, Baab, Marius, Bazzano, Angela, Belanger, Guillaume, Benson, Ian, Bird, Anthony J., Bozzo, Enrico, Brandt, Soren, Coe, Elliott, Caballero, Isabel, Cangemi, Floriane, Chenevez, Jerome, Cenko, Bradley, Cinar, Nebil, Coleiro, Alexis, De Padova, Stefano, Diehl, Roland, Dietze, Claudia, Domingo, Albert, Drapes, Mark, D'uva, Eleonora, Ehle, Matthias, Ebrero, Jacobo, Edirimanne, Mithrajith, Eismont, Natan A., Finn, Timothy, Fiocchi, Mariateresa, Tomas, Elena Garcia, Gaudenzi, Gianluca, Godard, Thomas, Goldwurm, Andrea, Gotz, Diego, Gouiffes, Christian, Grebenev, Sergei A., Greiner, Jochen, Gros, Aleksandra, Hanlon, Lorraine, Hermsen, Wim, Hernandez, Cristina, Hernanz, Margarita, Huebner, Jutta, Jourdain, Elisabeth, La Rosa, Giovanni, Labanti, Claudio, Laurent, Philippe, Lehanka, Alexander, Lund, Niels, Madison, James, Malzac, Julien, Martin, Jim, Mas-Hesse, J. Miguel, McBreen, Brian, McDonald, Alastair, McEnery, Julie, Mereghetti, Sandro, Natalucci, Lorenzo, Ness, Jan-Uwe, Oxborrow, Carol Anne, Palmer, John, Peschke, Sibylle, Petrucciani, Francesco, Pfeil, Norbert, Reichenbaecher, Michael, Rodi, James, Rodriguez, Jerome, Roques, Jean-Pierre, Donate, Emilio Salazar, Salt, Dave, Sanchez-Fernandez, Celia, Sauvageon, Aymeric, Savchenko, Volodymyr, Sazonov, Sergey Yu., Scaglioni, Stefano, Schartel, Norbert, Siegert, Thomas, Southworth, Richard, Sunyaev, Rashid A., Toma, Liviu, Ubertini, Pietro, Heuvel, Ed P. J. van den, von Kienlin, Andreas, von Krusenstiern, Nikolai, Winkler, Christoph, Wojciech, Hajdas, Zannoni, Ugo

ESA's INTErnational Gamma-Ray Astrophysics Laboratory (INTEGRAL) was launched on 17 Oct 2002 at 06:41 CEST. Since then, it has been providing long, uninterrupted observations (up to about 47 hr, or 170 ksec, per satellite orbit of 2.7 days) with a la

Externí odkaz: http://arxiv.org/abs/2106.12446

PEDOT-Doped Mesoporous Nanocarbon Electrodes for High Capacitive Aqueous Symmetric Supercapacitors

Autor: Mohsina Taj, Vinay S. Bhat, Ganesan Sriram, Mahaveer Kurkuri, S. R. Manohara, Paola De Padova, Gurumurthy Hegde

Publikováno v: Nanomaterials, Vol 14, Iss 14, p 1222 (2024)

Poly(3,4-ethylenedioxythiophene) (PEDOT) and PEDOT-functionalized carbon nanoparticles (f-CNPs) were synthesized by in situ chemical oxidative polymerization and pyrolysis methods. f-CNP-PEDOT nanocomposites were prepared by varying the concentration

Externí odkaz: https://doaj.org/article/a09e858ff81e4137b998e81bcd5f010b

Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality

Autor: Andrea Cozzi, Maurizio Cè, Giuseppe De Padova, Dario Libri, Nazarena Caldarelli, Fabio Zucconi, Giancarlo Oliva, Michaela Cellina

Publikováno v: Tomography, Vol 9, Iss 5, Pp 1629-1637 (2023)

This exploratory retrospective study aims to quantitatively compare the image quality of unenhanced brain computed tomography (CT) reconstructed with an iterative (AIDR-3D) and a deep learning-based (AiCE) reconstruction algorithm. After a preliminar

Externí odkaz: https://doaj.org/article/c953e4f99d914230bf5fe2ee6a1a85fd