Zobrazeno 1 - 10
of 8 663
pro vyhledávání: '"A Semeraro"'
Autor:
Miao, Kevin, Agrawal, Harsh, Zhang, Qihang, Semeraro, Federico, Cavallo, Marco, Gu, Jiatao, Toshev, Alexander
Generating high-quality 3D content requires models capable of learning robust distributions of complex scenes and the real-world objects within them. Recent Gaussian-based 3D reconstruction techniques have achieved impressive results in recovering hi
Externí odkaz:
http://arxiv.org/abs/2412.09648
Publikováno v:
Journal of Physics A: Mathematical and Theoretical, Volume 56, Number 43, 6 October 2023
We study the large fluctuations of the work injected by the random force into a Brownian particle under the action of a confining harmonic potential. In particular, we compute analytically the rate function for generic uncorrelated initial conditions
Externí odkaz:
http://arxiv.org/abs/2412.07707
Publikováno v:
Entropy 2024, 26(6), 23 May 2024
In addition to providing general constraints on probability distributions, fluctuation theorems allow to infer essential information on the role played by temperature in heat exchange phenomena. In this numerical study, we measure the temperature of
Externí odkaz:
http://arxiv.org/abs/2412.07706
Autor:
Semeraro, Massimiliano, Negro, Giuseppe, Suma, Antonio, Corberi, Federico, Gonnella, Giuseppe
Publikováno v:
Europhysics Letters, Volume 148, Number 3, 13 November 2024
Due to its inherent intertwinement with irreversibility, entropy production is a prime observable to monitor in systems of active particles. In this numerical study, entropy production in the liquid, hexatic and solid phases of a two-dimensional syst
Externí odkaz:
http://arxiv.org/abs/2412.07669
A control framework is presented to solve the rendezvous and proximity operations (RPO) problem of the EP-Gemini mission. In this mission, a CubeSat chaser is controlled to approach and circumnavigate the other uncooperative CubeSat target. Such a pr
Externí odkaz:
http://arxiv.org/abs/2412.00827
This study presents a novel hybrid approach that combines Graph Neural Networks (GNNs) with Reynolds-Averaged Navier Stokes (RANS) equations to enhance the accuracy of mean flow reconstruction across a range of fluid dynamics applications. Traditiona
Externí odkaz:
http://arxiv.org/abs/2411.09476
Autor:
Fontana, Roberto, Semeraro, Patrizia
Any discrete distribution with support on $\{0,\ldots, d\}$ can be constructed as the distribution of sums of Bernoulli variables. We prove that the class of $d$-dimensional Bernoulli variables $\boldsymbol{X}=(X_1,\ldots, X_d)$ whose sums $\sum_{i=1
Externí odkaz:
http://arxiv.org/abs/2410.13920
Many successful methods to learn dynamical systems from data have recently been introduced. Such methods often rely on the availability of the system's full state. However, this underlying hypothesis is rather restrictive as it is typically not confi
Externí odkaz:
http://arxiv.org/abs/2410.02843
Autor:
Rossi, Damiano, Semeraro, Jason
Let $q$ be a prime power, $\ell$ a prime not dividing $q$, and $e$ the order of $q$ modulo $\ell$. We show that the geometric realisation of the nerve of the transporter category of $e$-split Levi subgroups of a finite reductive group $G$ over $\math
Externí odkaz:
http://arxiv.org/abs/2408.06132
The paper revisits a Lyapunov-based feedback control to implement spacecraft orbital transfer maneuvers. The spacecraft equations of motion in the form of Gauss Variational Equations (GVEs) are used. By shaping the Lyapunov function using barrier fun
Externí odkaz:
http://arxiv.org/abs/2407.16389