Adiabatic quenches through an extended quantum critical region F Pellegrini, S Montangero, GE Santoro, R Fazio
Physical Review B 77 (14), 140404, 2008
67 2008 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
66 2014 PANNA: Properties from artificial neural network architectures R Lot, F Pellegrini, Y Shaidu, E Küçükbenli
Computer Physics Communications 256, 107402, 2020
54 2020 Practice patterns and 90-day treatment-related morbidity in early-stage cervical cancer G Bogani, V Di Donato, G Scambia, F Landoni, F Ghezzi, L Muzii, ...
Gynecologic Oncology 166 (3), 561-566, 2022
36 2022 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
28 2015 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
26 2021 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 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
17 2018 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
15 2020 Fractal fidelity as a signature of quantum chaos F Pellegrini, S Montangero
Physical Review A 76 (5), 052327, 2007
15 2007 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
10 2019 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
7 2022 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 Atomic spin-sensitive dissipation on magnetic surfaces F Pellegrini, GE Santoro, E Tosatti
Physical review letters 105 (14), 146103, 2010
7 2010 Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? F Pellegrini, G Biroli
arXiv preprint arXiv:2104.13343, 2021
6 2021 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
4 2023 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
4 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 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), 1-12, 2024
1 2024