Zobrazeno 1 - 10
of 935
pro vyhledávání: '"Marsili, M"'
If polytetrafluoroethylene (PTFE), commonly known as Teflon, is put into contact and rubbed against another material, almost surely it will be more effective than its counterpart in collecting negative charges. This simple, basic property is captured
Externí odkaz:
http://arxiv.org/abs/2304.14015
We show that the mutual information between the representation of a learning machine and the hidden features that it extracts from data is bounded from below by the relevance, which is the entropy of the model's energy distribution. Models with maxim
Externí odkaz:
http://arxiv.org/abs/1909.12792
Autor:
Sangalli, D., Ferretti, A., Miranda, H., Attaccalite, C., Marri, I., Cannuccia, E., Melo, P., Marsili, M., Paleari, F., Marrazzo, A., Prandini, G., Bonfà, P., Atambo, M. O., Affinito, F., Palummo, M., Molina-Sánchez, A., Hogan, C., Grüning, M., Varsano, D., Marini, A.
Publikováno v:
Journal of Physics: Condensed Matter, Volume 31, Number 32 (2019)
yambo is an open source project aimed at studying excited state properties of condensed matter systems from first principles using many-body methods. As input, yambo requires ground state electronic structure data as computed by density functional th
Externí odkaz:
http://arxiv.org/abs/1902.03837
Autor:
Giannozzi, P., Andreussi, O., Brumme, T., Bunau, O., Nardelli, M. Buongiorno, Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Cococcioni, M., Colonna, N., Carnimeo, I., Corso, A. Dal, de Gironcoli, S., Delugas, P., DiStasio Jr., R. A., Ferretti, A., Floris, A., Fratesi, G., Fugallo, G., Gebauer, R., Gerstmann, U., Giustino, F., Gorni, T., Jia, J., Kawamura, M., Ko, H. -Y., Kokalj, A., Küçükbenli, E., Lazzeri, M., Marsili, M., Marzari, N., Mauri, F., Nguyen, N. L., Nguyen, H. -V., Otero-de-la-Roza, A., Paulatto, L., Poncé, S., Rocca, D., Sabatini, R., Santra, B., Schlipf, M., Seitsonen, A. P., Smogunov, A., Timrov, I., Thonhauser, T., Umari, P., Vast, N., Wu, X., Baroni, S.
Publikováno v:
J. Phys.: Condens. Matter 29, 465901 (2017)
Quantum ESPRESSO is an integrated suite of open-source computer codes for quantum simulations of materials using state-of-the art electronic-structure techniques, based on density-functional theory, density-functional perturbation theory, and many-bo
Externí odkaz:
http://arxiv.org/abs/1709.10010
Autor:
Amatruda, M, Atzeni, C, Bertolini, P, Bigucci, B, Caniglia, M, Cappella, M, Cattalini, M, Cefalo, MG, Cellini, M, Cortis, E, Davì, S, De Benedetti, F, Di Cataldo, A, Fabbri, E, Fagioli, F, Fontanili, I, Garaventa, A, Gicchino, MF, Ladogana, S, Locatelli, F, Magnolato, A, Marsili, M, Martino, S, Mascarin, M, Messina, C, Micalizzi, C, Porta, F, Rizzari, C, Civino, Adele *, Alighieri, Giovanni, Prete, Eleonora, Caroleo, Anna Maria, Magni-Manzoni, Silvia, Vinti, Luciana, Romano, Micol, Santoro, Nicola, Filocamo, Giovanni, Belotti, Tamara, Santarelli, Francesca, Gorio, Chiara, Ricci, Francesca, Colombini, Antonella, Pastore, Serena, Cesaro, Simone, Barone, Patrizia, Verzegnassi, Federico, Olivieri, Alma Nunzia, Ficara, Monica, Miniaci, Angela, Russo, Giovanna, Gallizzi, Romina, Pericoli, Roberta, Breda, Luciana, Mura, Rossella, Podda, Rosa Anna, Onofrillo, Daniela, Lattanzi, Bianca, Tirtei, Elisa, Maggio, Maria Cristina, De Santis, Raffaela, Consolini, Rita, Arlotta, Annalisa, La Torre, Francesco, Mainardi, Chiara, Pelagatti, Maria Antonietta, Coassin, Elisa, Capolsini, Ilaria, Burnelli, Roberta, Tornesello, Assunta, Soscia, Francesca, De Fanti, Alessandro, Rigante, Donato, Pizzato, Cristina, De Fusco, Carmela, Abate, Massimo Eraldo, Roncadori, Andrea, Rossi, Elisa, Stabile, Giulia, Biondi, Andrea, Lepore, Loredana, Conter, Valentino, Rondelli, Roberto, Pession, Andrea *, Ravelli, Angelo *
Publikováno v:
In The Lancet Rheumatology July 2021 3(7):e507-e516
Inverse phase transitions are striking phenomena in which an apparently more ordered state disorders under cooling. This behavior can naturally emerge in tricritical systems on heterogeneous networks and it is strongly enhanced by the presence of dis
Externí odkaz:
http://arxiv.org/abs/1010.4062
Publikováno v:
PLoS ONE 6(5): e20207 (2011)
Social learning is defined as the ability of a population to aggregate information, a process which must crucially depend on the mechanisms of social interaction. Consumers choosing which product to buy, or voters deciding which option to take respec
Externí odkaz:
http://arxiv.org/abs/1008.3083
We study the solutions of Von Neumann's expanding model with reversible processes for an infinite reaction network. We show that, contrary to the irreversible case, the solution space need not be convex in contracting phases (i.e. phases where the co
Externí odkaz:
http://arxiv.org/abs/1006.1279
Understanding the organization of reaction fluxes in cellular metabolism from the stoichiometry and the topology of the underlying biochemical network is a central issue in systems biology. In this task, it is important to devise reasonable approxima
Externí odkaz:
http://arxiv.org/abs/0902.1052
Publikováno v:
Physica A, Vol 374, 457 (2007)
We introduce a general stochastic model for the spread of rumours, and derive mean-field equations that describe the dynamics of the model on complex social networks (in particular those mediated by the Internet). We use analytical and numerical solu
Externí odkaz:
http://arxiv.org/abs/0807.1458