Pedrielli, Andrea
Pedrielli, Andrea
A novel combined experimental and multiscale theoretical approach to unravel the structure of SiC/SiOx core/shell nanowires for their optimal design
2018-01-01 Morresi, Tommaso; Timpel, Melanie Kristina; Pedrielli, Andrea; Garberoglio, Giovanni; Tatti, Roberta; Verucchi, Roberto; Pasquali, Luca; Pugno, Nicola Maria; Nardi, Marco Vittorio; Taioli, Simone
Designing graphene based nanofoams with nonlinear auxetic and anisotropic mechanical properties under tension or compression
2017-01-01 Pedrielli, Andrea; Taioli, Simone; Garberoglio, Giovanni; Pugno, Nicola
Electronic excitation spectra of cerium oxides: fromab initiodielectric response functions to Monte Carlo electron transport simulations
2021-01-01 Pedrielli, A.; de Vera, P.; Trevisanutto, P. E.; Pugno, N. M.; Garcia-Molina, R.; Abril, I.; Taioli, S.; Dapor, M.
Gas adsorption and dynamics in Pillared Graphene Frameworks
2018-01-01 Pedrielli, Andrea; Taioli, Simone; Garberoglio, Giovanni; Pugno, Nicola Maria
In search of the ground-state crystal structure of Ta2O5 from ab initio and Monte Carlo simulations
2023-01-01 Pedrielli, Andrea; Pugno, Nicola M.; Dapor, Maurizio; Taioli, Simone
Mechanical and thermal properties of graphene random nanofoams via Molecular Dynamics simulations
2018-01-01 Pedrielli, Andrea; Taioli, Simone; Garberoglio, Giovanni; Pugno, Nicola Maria
Mechanical Properties of Twisted Carbon Nanotube Bundles with Carbon Linkers from Molecular Dynamics Simulations
2023-01-01 Pedrielli, Andrea; Dapor, Maurizio; Gkagkas, Konstantinos; Taioli, Simone; Pugno, Nicola Maria
Structural, electronic and mechanical properties of all-sp2 carbon allotropes with density lower than graphene
2020-01-01 Morresi, Tommaso; Pedrielli, Andrea; Beccara, Silvio a; Gabbrielli, Ruggero; Pugno, Nicola M.; Taioli, Simone
Understanding anharmonic effects on hydrogen desorption characteristics of MgnH2n nanoclusters by ab initio trained deep neural network
2022-01-01 Pedrielli, Andrea; Trevisanutto, Paolo E.; Monacelli, Lorenzo; Garberoglio, Giovanni; Pugno, Nicola M.; Taioli, Simone
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A novel combined experimental and multiscale theoretical approach to unravel the structure of SiC/SiOx core/shell nanowires for their optimal design | 1-gen-2018 | Morresi, Tommaso; Timpel, Melanie Kristina; Pedrielli, Andrea; Garberoglio, Giovanni; Tatti, Roberta; Verucchi, Roberto; Pasquali, Luca; Pugno, Nicola Maria; Nardi, Marco Vittorio; Taioli, Simone | |
| Designing graphene based nanofoams with nonlinear auxetic and anisotropic mechanical properties under tension or compression | 1-gen-2017 | Pedrielli, Andrea; Taioli, Simone; Garberoglio, Giovanni; Pugno, Nicola | |
| Electronic excitation spectra of cerium oxides: fromab initiodielectric response functions to Monte Carlo electron transport simulations | 1-gen-2021 | Pedrielli, A.; de Vera, P.; Trevisanutto, P. E.; Pugno, N. M.; Garcia-Molina, R.; Abril, I.; Taioli, S.; Dapor, M. | |
| Gas adsorption and dynamics in Pillared Graphene Frameworks | 1-gen-2018 | Pedrielli, Andrea; Taioli, Simone; Garberoglio, Giovanni; Pugno, Nicola Maria | |
| In search of the ground-state crystal structure of Ta2O5 from ab initio and Monte Carlo simulations | 1-gen-2023 | Pedrielli, Andrea; Pugno, Nicola M.; Dapor, Maurizio; Taioli, Simone | |
| Mechanical and thermal properties of graphene random nanofoams via Molecular Dynamics simulations | 1-gen-2018 | Pedrielli, Andrea; Taioli, Simone; Garberoglio, Giovanni; Pugno, Nicola Maria | |
| Mechanical Properties of Twisted Carbon Nanotube Bundles with Carbon Linkers from Molecular Dynamics Simulations | 1-gen-2023 | Pedrielli, Andrea; Dapor, Maurizio; Gkagkas, Konstantinos; Taioli, Simone; Pugno, Nicola Maria | |
| Structural, electronic and mechanical properties of all-sp2 carbon allotropes with density lower than graphene | 1-gen-2020 | Morresi, Tommaso; Pedrielli, Andrea; Beccara, Silvio a; Gabbrielli, Ruggero; Pugno, Nicola M.; Taioli, Simone | |
| Understanding anharmonic effects on hydrogen desorption characteristics of MgnH2n nanoclusters by ab initio trained deep neural network | 1-gen-2022 | Pedrielli, Andrea; Trevisanutto, Paolo E.; Monacelli, Lorenzo; Garberoglio, Giovanni; Pugno, Nicola M.; Taioli, Simone |