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Franco Pellegrini
Franco Pellegrini
Researcher, SISSA, Trieste
E-mail confirmado em sissa.it
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Ano
Adiabatic quenches through an extended quantum critical region
F Pellegrini, S Montangero, GE Santoro, R Fazio
Physical Review B 77 (14), 140404, 2008
672008
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
662014
PANNA: Properties from artificial neural network architectures
R Lot, F Pellegrini, Y Shaidu, E Küçükbenli
Computer Physics Communications 256, 107402, 2020
542020
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
282015
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
272021
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
192011
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
172018
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
152020
Fractal fidelity as a signature of quantum chaos
F Pellegrini, S Montangero
Physical Review A 76 (5), 052327, 2007
152007
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
102019
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
72022
Markov state modeling of sliding friction
F Pellegrini, FP Landes, A Laio, S Prestipino, E Tosatti
Physical Review E 94 (5), 053001, 2016
72016
Atomic spin-sensitive dissipation on magnetic surfaces
F Pellegrini, GE Santoro, E Tosatti
Physical review letters 105 (14), 146103, 2010
72010
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
62021
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
42023
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
42018
Charge-density-wave surface phase slips and noncontact nanofriction
F Pellegrini, GE Santoro, E Tosatti
Physical Review B 89 (24), 245416, 2014
42014
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
22017
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
12024
Thermolubricity and the Jarzynski equality
F Pellegrini, E Panizon, G Santoro, E Tosatti
arXiv preprint arXiv:1809.01609, 2018
12018
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