Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Franco Pellegrini"'
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract We present a new approach to construct machine-learned interatomic potentials including long-range electrostatic interactions based on a charge equilibration scheme. This new approach can accurately describe the potential energy surface of s
Externí odkaz:
https://doaj.org/article/95859c91c7874883ad3a79f2050fb6d5
Autor:
Yusuf Shaidu, Emine Küçükbenli, Ruggero Lot, Franco Pellegrini, Efthimios Kaxiras, Stefano de Gironcoli
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-13 (2021)
Abstract Availability of affordable and widely applicable interatomic potentials is the key needed to unlock the riches of modern materials modeling. Artificial neural network-based approaches for generating potentials are promising; however, neural
Externí odkaz:
https://doaj.org/article/3615bdf517374055a6e295aa00227d24
Autor:
Emanuele Panizon, Torben Marx, Dirk Dietzel, Franco Pellegrini, Giuseppe E Santoro, Andre Schirmeisen, Erio Tosatti
Publikováno v:
New Journal of Physics, Vol 20, Iss 2, p 023033 (2018)
Revealing phase transitions of solids through mechanical anomalies in the friction of nanotips sliding on their surfaces, a successful approach for continuous transitions, is still an unexplored tool for first-order ones. Owing to slow nucleation, fi
Externí odkaz:
https://doaj.org/article/4629c33ac3dc48c58001fedf57545495
Autor:
Giorgio Bogani, Violante Di Donato, Giovanni Scambia, Fabio Landoni, Fabio Ghezzi, Ludovico Muzii, Pierluigi Benedetti Panici, Francesco Raspagliesi, Jvan Casarin, Giampaolo Di Martino, Tommaso Grassi, Anna Myriam Perrone, Pierandrea De Iaco, Francesco Multinu, Roberto Berretta, Vito A. Capozzi, Errico Zupi, Gabriele Centini, Antonio Pellegrino, Silvia Corso, Guido Stevenazzi, Anna Chiara Boschi, Giuseppe Comerci, Pantaleo Greco, Gennaro Scutiero, Francesco Sopracordevole, Giorgio Giorda, Mariasole Fichera, Tommaso Simoncini, Marta Caretto, Enrico Sartori, Federico Ferrari, Antonio Cianci, Giuseppe Sarpietro, Maria Grazia Matarazzo, Pierluigi Giampaolino, Giuseppe Bifulco, Michele Morelli, Michele Di Dio, Annamaria Ferrero, Nicoletta Biglia, Fabio Barra, Simone Ferrero, Stefano Cianci, Vito Chiantera, Giulio Sozzi, Alfredo Ercoli, Sergio Schettini, Teresa Orlando, Francesco G. Cannone, Giuseppe Ettore, Andrea Puppo, Elena Olearo, Umberto Leone Roberti Maggiore, Valeria Artuso, Innocenza Palaia, Giorgia Perniola, Rossana Tripodi, Tullio Golia D'Augè, Ilaria Cuccu, Margherita Fischetti, Giusi Santangelo, Assunta Casorelli, Andrea Giannini, Ottavia D’Oria, Giuseppe Vizzielli, Stefano Restaino, Alice Bergamini, Luca Bocciolone, Francesco Plotti, Roberto Angioli, Giulia Mantovani, Marcello Ceccaroni, Chiara Cassini, Mattia Dominoni, Laura Giambanco, Silvia Amodeo, Livio Leo, Raphaël Thommaset, Diego Raimondo, Renato Seracchioli, Mario Malzoni, Francesca Falcone, Franco Gorlero, Martina Di Luca, Enrico Busato, Sami Kilzie, Andrea Dell'Acqua, Giovanna Scarfone, Paolo Vercellini, Marco Petrillo, Giampiero Capobianco, Andrea Ciavattini, Liliana Mereu, Paolo Scollo, Flavia Sorbi, Massimiliano Fambrini, Federico Romano, Giuseppe Ricci, Giuseppe Trojano, Gianluca Raffaello Damiani, Roberto Consonni, Nadia Di Lorenzo, Antonio Lippolis, Raffaele Tinelli, Lorenzo Aguzzoli, Vincenzo D. Mandato, Stefano Palomba, Marcello Tripodi, Davide Calandra, Franco Pellegrini, Fulvio Zullo, Daniela Surico, Valentino Remorgida, Francesco Ruscitto, Paolo Beretta, Enrico Vizza
Background. To evaluate the impact of the Laparoscopic Approach to Cervical Cancer (LACC) Trial on patterns of care and surgery-related morbidity in early-stage cervical cancer. Methods. This is a retrospective, a multi-institutional study evaluating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48804826fd643b9b9751ba0c69ba652c
https://hdl.handle.net/10807/233428
https://hdl.handle.net/10807/233428
Autor:
Franco Pellegrini, Yusuf Shaidu, Ruggero Lot, Stefano de Gironcoli, Efthimios Kaxiras, Emine Kucukbenli
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-13 (2021)
npj Computational Materials
npj Computational Materials
Availability of affordable and widely applicable interatomic potentials is the key needed to unlock the riches of modern materials modeling. Artificial neural network-based approaches for generating potentials are promising; however, neural network t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96f3c5060143e18531b636eb04702b21
http://arxiv.org/abs/2011.04604
http://arxiv.org/abs/2011.04604
Autor:
Franco Pellegrini
Cómo vestirse, qué método usar para preparar café por la mañana, qué recorrido elegir para ir a trabajar, cómo organizar una presentación universitaria, cuál es la estrategia de marketing adecuada para un producto que sale al mercado, cómo
Publikováno v:
Physical Review B 99 (2019). doi:10.1103/PhysRevB.99.075428
info:cnr-pdr/source/autori:Pellegrini F.; Panizon E.; Santoro G.E.; Tosatti E./titolo:Thermally assisted lubricity and negative work tails in sliding friction/doi:10.1103%2FPhysRevB.99.075428/rivista:Physical Review B/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:99
info:cnr-pdr/source/autori:Pellegrini F.; Panizon E.; Santoro G.E.; Tosatti E./titolo:Thermally assisted lubricity and negative work tails in sliding friction/doi:10.1103%2FPhysRevB.99.075428/rivista:Physical Review B/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:99
We discuss and qualify the connection between two separate phenomena in the physics of nanoscale friction, general in nature and relevant to experiments. The first is thermally assisted lubricity (TAL), i.e., the low-velocity regime where a nanosized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04cda4731c8bb119d6c5f2f68fd5cbcf
http://www.cnr.it/prodotto/i/424494
http://www.cnr.it/prodotto/i/424494
Publikováno v:
Computer Physics Communications
Prediction of material properties from first principles is often a computationally expensive task. Recently, artificial neural networks and other machine learning approaches have been successfully employed to obtain accurate models at a low computati
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America (2018). doi:10.1073/pnas.1801144115
info:cnr-pdr/source/autori:Zanca T., Pellegrini F., Santoro G.E., Tosatti E./titolo:Frictional lubricity enhanced by quantum mechanics/doi:10.1073%2Fpnas.1801144115/rivista:Proceedings of the National Academy of Sciences of the United States of America/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
info:cnr-pdr/source/autori:Zanca T., Pellegrini F., Santoro G.E., Tosatti E./titolo:Frictional lubricity enhanced by quantum mechanics/doi:10.1073%2Fpnas.1801144115/rivista:Proceedings of the National Academy of Sciences of the United States of America/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
The quantum motion of nuclei, generally ignored in the physics of sliding friction, can affect in an important manner the frictional dissipation of a light particle forced to slide in an optical lattice. The density matrix-calculated evolution of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74a14a1c945dbabbd939fc57e5771e76
https://publications.cnr.it/doc/400717
https://publications.cnr.it/doc/400717
Autor:
Torben Marx, Giuseppe E. Santoro, Erio Tosatti, Emanuele Panizon, Franco Pellegrini, André Schirmeisen, Dirk Dietzel
Publikováno v:
New journal of physics (2018). doi:10.1088/1367-2630/aaac00
info:cnr-pdr/source/autori:Panizon E., Marx T., Dietzel D., Pellegrini F., Santoro G.E., Schirmeisen A., Tosatti E./titolo:Friction anomalies at first-order transition spinodals: 1T-TaS2/doi:10.1088%2F1367-2630%2Faaac00/rivista:New journal of physics/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
info:cnr-pdr/source/autori:Panizon E., Marx T., Dietzel D., Pellegrini F., Santoro G.E., Schirmeisen A., Tosatti E./titolo:Friction anomalies at first-order transition spinodals: 1T-TaS2/doi:10.1088%2F1367-2630%2Faaac00/rivista:New journal of physics/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume
Revealing phase transitions of solids through mechanical anomalies in the friction of nanotips sliding on their surfaces is an unconventional and instructive tool for continuous transitions, unexplored for first-order ones. Owing to slow nucleation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ebe05d1f910e855e735b54007c98031
http://hdl.handle.net/20.500.11767/87919
http://hdl.handle.net/20.500.11767/87919