| Development of a Sigma-2 Receptor affinity filter through a Monte Carlo based QSAR analysis A Rescifina, G Floresta, A Marrazzo, C Parenti, O Prezzavento, G Nastasi, ... European Journal of Pharmaceutical Sciences 106, 94-101, 2017 | 48 | 2017 |
| Sigma-2 receptor ligands QSAR model dataset A Rescifina, G Floresta, A Marrazzo, C Parenti, O Prezzavento, G Nastasi, ... Data in brief 13, 514-535, 2017 | 35 | 2017 |
| Heme oxygenase database (HemeOxDB) and QSAR analysis of isoform 1 inhibitors E Amata, A Marrazzo, M Dichiara, MN Modica, L Salerno, O Prezzavento, ... ChemMedChem 12 (22), 1873-1881, 2017 | 34 | 2017 |
| S2RSLDB: a comprehensive manually curated, internet-accessible database of the sigma-2 receptor selective ligands G Nastasi, C Miceli, V Pittalà, MN Modica, O Prezzavento, G Romeo, ... Journal of cheminformatics 9, 1-9, 2017 | 33 | 2017 |
| Comprehensive data on a 2D-QSAR model for Heme Oxygenase isoform 1 inhibitors E Amata, A Marrazzo, M Dichiara, MN Modica, L Salerno, O Prezzavento, ... Data in brief 15, 281-299, 2017 | 32 | 2017 |
| Simulation of bipolar charge transport in graphene by using a discontinuous Galerkin method A Majorana, G Nastasi, V Romano Communications in Computational Physics 26 (1), 114-134, 2019 | 28 | 2019 |
| A full coupled drift-diffusion-Poisson simulation of a GFET G Nastasi, V Romano Communications in Nonlinear Science and Numerical Simulation 87, 105300, 2020 | 21 | 2020 |
| Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models F Calleri, G Nastasi, V Romano Journal of Mathematical Biology 83 (4), 34, 2021 | 19 | 2021 |
| High-field mobility in graphene on substrate with a proper inclusion of the Pauli exclusion principle M Coco, A Majorana, G Nastasi, V Romano arXiv preprint arXiv:1712.01863, 2017 | 18 | 2017 |
| Improved mobility models for charge transport in graphene G Nastasi, V Romano Communications in Applied and Industrial Mathematics 10 (1), 41-52, 2019 | 15 | 2019 |
| Design optimization of nanoscale electrothermal transport in 10 nm SOI FinFET technology node H Rezgui, F Nasri, G Nastasi, MFB Aissa, S Rahmouni, V Romano, ... Journal of Physics D: Applied Physics 53 (49), 495103, 2020 | 13 | 2020 |
| Simulation of bipolar charge transport in graphene on h-BN M Coco, G Nastasi COMPEL-The international journal for computation and mathematics in …, 2020 | 13 | 2020 |
| A time-delayed deterministic model for the spread of COVID-19 with calibration on a real dataset G Nastasi, C Perrone, S Taffara, G Vitanza Mathematics 10 (4), 661, 2022 | 12 | 2022 |
| Optimal control of the Keilson-Storer master equation in a Monte Carlo framework J Bartsch, G Nastasi, A Borzì Journal of Computational and Theoretical Transport 50 (5), 454-482, 2021 | 12 | 2021 |
| An efficient GFET structure G Nastasi, V Romano IEEE Transactions on Electron Devices 68 (9), 4729-4734, 2021 | 12 | 2021 |
| Direct simulation of charge transport in graphene nanoribbons G Nastasi, VD Camiola, V Romano Commun. Comput. Phys. 31 (2), 449-94, 2022 | 6 | 2022 |
| Discontinuous Galerkin approach for the simulation of charge transport in graphene G Nastasi, V Romano Ricerche di Matematica 70, 149-165, 2021 | 4 | 2021 |
| Comparing kinetic and MEP model of charge transport in graphene L Luca, G Mascali, G Nastasi, V Romano Journal of Computational and Theoretical Transport 49 (7), 368-388, 2020 | 4 | 2020 |
| Mathematical modelling of charge transport in graphene heterojunctions L Barletti, G Nastasi, C Negulescu, V Romano arXiv preprint arXiv:2006.16246, 2020 | 4 | 2020 |
| Simulation of graphene field effect transistors G Nastasi, V Romano Scientific Computing in Electrical Engineering: SCEE 2018, Taormina, Italy …, 2020 | 4 | 2020 |
