106 citations · 297 across the 23 of their papers we have counts for
4 papers · 1 filter
Learning dynamical systems: an example from open quantum system dynamics
Pietro Novelli
Machine learning algorithms designed to learn dynamical systems from data can be used to forecast, control and interpret the observed dynamics. In this work we exemplify the use of…
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Vladimir Kostic, Pietro Novelli, Andreas Maurer +3
We study a class of dynamical systems modelled as Markov chains that admit an invariant distribution via the corresponding transfer, or Koopman, operator. While data-driven algorit…
Characterizing metastable states with the help of machine learning
Pietro Novelli, Luigi Bonati, Massimiliano Pontil +1
Present-day atomistic simulations generate long trajectories of ever more complex systems. Analyzing these data, discovering metastable states, and uncovering their nature is becom…
Moiré-Induced Transport in CVD-Based Small-Angle Twisted Bilayer Graphene
Giulia Piccinini, Vaidotas Mišeikis, Pietro Novelli +5
To realize the applicative potential of 2D twistronic devices, scalable synthesis and assembly techniques need to meet stringent requirements in terms of interface cleanness and tw…