| Giant frictional dissipation peaks and charge-density-wave slips at the NbSe2 surface M Langer, M Kisiel, R Pawlak, F Pellegrini, GE Santoro, R Buzio, A Gerbi, ... Nature materials 13 (2), 173-177, 2014 | 68 | 2014 |
| Adiabatic quenches through an extended quantum critical region F Pellegrini, S Montangero, GE Santoro, R Fazio Physical Review B—Condensed Matter and Materials Physics 77 (14), 140404, 2008 | 68 | 2008 |
| Panna: Properties from artificial neural network architectures R Lot, F Pellegrini, Y Shaidu, E Küçükbenli Computer Physics Communications 256, 107402, 2020 | 60 | 2020 |
| A systematic approach to generating accurate neural network potentials: The case of carbon Y Shaidu, E Küçükbenli, R Lot, F Pellegrini, E Kaxiras, S de Gironcoli npj Computational Materials 7 (1), 52, 2021 | 37 | 2021 |
| Noncontact Atomic Force Microscope Dissipation Reveals a Central Peak of Structural Phase Transition M Kisiel, F Pellegrini, GE Santoro, M Samadashvili, R Pawlak, A Benassi, ... Physical review letters 115 (4), 046101, 2015 | 29 | 2015 |
| Frictional lubricity enhanced by quantum mechanics T Zanca, F Pellegrini, GE Santoro, E Tosatti Proceedings of the National Academy of Sciences 115 (14), 3547-3550, 2018 | 20 | 2018 |
| Crossover from adiabatic to antiadiabatic quantum pumping with dissipation F Pellegrini, C Negri, F Pistolesi, N Manini, GE Santoro, E Tosatti Physical Review Letters 107 (6), 060401, 2011 | 19 | 2011 |
| An analytic theory of shallow networks dynamics for hinge loss classification F Pellegrini, G Biroli Advances in Neural Information Processing Systems 33, 5356-5367, 2020 | 18 | 2020 |
| Fractal fidelity as a signature of quantum chaos F Pellegrini, S Montangero Physical Review A—Atomic, Molecular, and Optical Physics 76 (5), 052327, 2007 | 15 | 2007 |
| Neural network pruning denoises the features and makes local connectivity emerge in visual tasks F Pellegrini, G Biroli International Conference on Machine Learning, 17601-17626, 2022 | 14* | 2022 |
| Thermally assisted lubricity and negative work tails in sliding friction F Pellegrini, E Panizon, GE Santoro, E Tosatti Physical Review B 99 (7), 075428, 2019 | 12 | 2019 |
| PANNA 2.0: Efficient neural network interatomic potentials and new architectures F Pellegrini, R Lot, Y Shaidu, E Küçükbenli The Journal of Chemical Physics 159 (8), 2023 | 8 | 2023 |
| Atomic spin-sensitive dissipation on magnetic surfaces F Pellegrini, GE Santoro, E Tosatti Physical review letters 105 (14), 146103, 2010 | 8 | 2010 |
| Markov state modeling of sliding friction F Pellegrini, FP Landes, A Laio, S Prestipino, E Tosatti Physical Review E 94 (5), 053001, 2016 | 7 | 2016 |
| Incorporating long-range electrostatics in neural network potentials via variational charge equilibration from shortsighted ingredients Y Shaidu, F Pellegrini, E Küçükbenli, R Lot, S de Gironcoli npj Computational Materials 10 (1), 47, 2024 | 6 | 2024 |
| Friction anomalies at first-order transition spinodals: 1T-TaS2 E Panizon, T Marx, D Dietzel, F Pellegrini, GE Santoro, A Schirmeisen, ... New Journal of Physics 20 (2), 023033, 2018 | 5 | 2018 |
| Charge-density-wave surface phase slips and noncontact nanofriction F Pellegrini, GE Santoro, E Tosatti Physical Review B 89 (24), 245416, 2014 | 4 | 2014 |
| A Markov state modeling analysis of sliding dynamics of a 2D model M Teruzzi, F Pellegrini, A Laio, E Tosatti The Journal of Chemical Physics 147 (15), 2017 | 2 | 2017 |
| Neural network interatomic potentials for open surface nano-mechanics applications AD Naghdi, F Pellegrini, E Küçükbenli, D Massa, ... Acta Materialia 277, 120200, 2024 | 1 | 2024 |
| Quantum dissipation at the nanoscale F Pellegrini SISSA, 2011 | 1 | 2011 |
