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pro vyhledávání: '"Zanardi P"'
The domain decomposition (DD) nonlinear-manifold reduced-order model (NM-ROM) represents a computationally efficient method for integrating underlying physics principles into a neural network-based, data-driven approach. Compared to linear subspace m
Externí odkaz:
http://arxiv.org/abs/2412.00507
State-specific thermochemical collisional models are crucial to accurately describe the physics of systems involving nonequilibrium plasmas, but they are also computationally expensive and impractical for large-scale, multi-dimensional simulations. H
Externí odkaz:
http://arxiv.org/abs/2411.01673
Autor:
Andreadakis, Faidon, Zanardi, Paolo
In quantum many-body systems, complex dynamics delocalize the physical degrees of freedom. This spreading of information throughout the system has been extensively studied in relation to quantum thermalization, scrambling, and chaos. Locality is typi
Externí odkaz:
http://arxiv.org/abs/2410.02911
The study of information scrambling has profoundly deepened our understanding of many-body quantum systems. Much recent research has been devote to understanding the interplay between scrambling and decoherence in open systems. Continuing in this vei
Externí odkaz:
http://arxiv.org/abs/2409.16481
A key challenge in autonomous driving is that Autonomous Vehicles (AVs) must contend with multiple, often conflicting, planning requirements. These requirements naturally form in a hierarchy -- e.g., avoiding a collision is more important than mainta
Externí odkaz:
http://arxiv.org/abs/2409.11199
We propose a tactical homotopy-aware decision-making framework for game-theoretic motion planning in urban environments. We model urban driving as a generalized Nash equilibrium problem and employ a mixed-integer approach to tame the combinatorial as
Externí odkaz:
http://arxiv.org/abs/2406.13656
Publikováno v:
Phys. Rev. A 110, 052416 (2024)
Operator entanglement is a well-established measure of operator complexity across a system bipartition. In this work, we introduce a measure for the ability of a unitary channel to generate operator entanglement, representing an operator-level genera
Externí odkaz:
http://arxiv.org/abs/2406.10206
Autor:
Fieni, Giona, Neumann, Marc-Philippe, Zanardi, Alessandro, Cerofolini, Alberto, Onder, Christopher H.
This paper presents an interaction-aware energy management optimization framework for Formula 1 racing. The considered scenario involves two agents and a drag reduction model. Strategic interactions between the agents are captured by a Stackelberg ga
Externí odkaz:
http://arxiv.org/abs/2405.11032
Autor:
Lavina, Barbara, Zanardi, Enrique, Mujica, Andrés, Cynn, Hyunchae, Meng, Yue, Prakapenka, Vitali, Smith, Jesse S.
The pressure-induced polymorphism of binary octect compounds has long been considered a settled problem although the possible atomic disordering of some phases remains a puzzling observation. Taking GaP as a case study, we conclude, through x-ray mic
Externí odkaz:
http://arxiv.org/abs/2404.07758
Publikováno v:
Phys. Rev. E 110 (2024), 054304
Network systems can exhibit memory effects in which the interactions between different pairs of nodes adapt in time, leading to the emergence of preferred connections, patterns, and sub-networks. To a first approximation, this memory can be modelled
Externí odkaz:
http://arxiv.org/abs/2403.13967