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Pietro Novelli
Pietro Novelli
Postdoctoral Researcher, Italian Institute of Technology
Подтвержден адрес электронной почты в домене iit.it
Название
Процитировано
Процитировано
Год
Observation of interband collective excitations in twisted bilayer graphene
NCH Hesp, I Torre, D Rodan-Legrain, P Novelli, Y Cao, S Carr, S Fang, ...
Nature Physics 17 (10), 1162-1168, 2021
78*2021
Failure of conductance quantization in two-dimensional topological insulators due to nonmagnetic impurities
P Novelli, F Taddei, AK Geim, M Polini
Physical Review Letters 122 (1), 016601, 2019
642019
Optical and plasmonic properties of twisted bilayer graphene: Impact of interlayer tunneling asymmetry and ground-state charge inhomogeneity
P Novelli, I Torre, FHL Koppens, F Taddei, M Polini
Physical Review B 102 (12), 125403, 2020
512020
Learning dynamical systems via Koopman operator regression in reproducing kernel Hilbert spaces
V Kostic, P Novelli, A Maurer, C Ciliberto, L Rosasco, M Pontil
Advances in Neural Information Processing Systems 35, 4017-4031, 2022
342022
Characterizing metastable states with the help of machine learning
P Novelli, L Bonati, M Pontil, M Parrinello
Journal of Chemical Theory and Computation 18 (9), 5195-5202, 2022
152022
Sharp spectral rates for Koopman operator learning
V Kostic, K Lounici, P Novelli, M Pontil
Advances in Neural Information Processing Systems 36, 2024
13*2024
Moire-induced transport in CVD-based small-angle twisted bilayer graphene
G Piccinini, V Mišeikis, P Novelli, K Watanabe, T Taniguchi, M Polini, ...
Nano Letters 22 (13), 5252-5259, 2022
92022
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
G Meanti, A Chatalic, V Kostic, P Novelli, M Pontil, L Rosasco
Advances in Neural Information Processing Systems 36, 2024
52024
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling
D Ordoñez-Apraez, V Kostic, G Turrisi, P Novelli, C Mastalli, C Semini, ...
arXiv preprint arXiv:2312.07457, 2023
12023
Learning invariant representations of time-homogeneous stochastic dynamical systems
VR Kostic, P Novelli, R Grazzi, K Lounici, M Pontil
arXiv preprint arXiv:2307.09912, 2023
1*2023
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
J Falk, L Bonati, P Novelli, M Parrinello, M Pontil
Advances in Neural Information Processing Systems 36, 2024
2024
A randomized algorithm to solve reduced rank operator regression
G Turri, V Kostic, P Novelli, M Pontil
arXiv preprint arXiv:2312.17348, 2023
2023
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
P Inzerilli, V Kostic, K Lounici, P Novelli, M Pontil
arXiv preprint arXiv:2312.13426, 2023
2023
Learning dynamical systems: an example from open quantum system dynamics
P Novelli
arXiv preprint arXiv:2211.06678, 2022
2022
Electron-electron interaction effects in the optical and transport properties of 2D materials beyond graphene
P Novelli
Scuola Normale Superiore, 2021
2021
Quantum pumping in thermoelectric systems
P Novelli, F Taddei, R Fazio
2016
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Статьи 1–16