Zobrazeno 1 - 10
of 1 794
pro vyhledávání: '"P Vasilopoulos"'
Autor:
Yang, H. N., Maitra, C., Vasilopoulos, G., Haberl, F., Jenke, P. A., Karaferias, A. S., Sharma, R., Beri, A., Ji, L., Jin, C., Yuan, W., Zhang, Y. J., Wang, C. Y., Xu, X. P., Liu, Y., Zhang, W. D., Zhang, C., Ling, Z. X., Liu, H. Y., Cheng, H. Q., Pan, H. W.
A new giant outburst of the Be X-ray binary RX J0520.5-6932 was detected and subsequently observed with several space-borne and ground-based instruments. This study presents a comprehensive analysis of the optical and X-ray data, focusing on the spec
Externí odkaz:
http://arxiv.org/abs/2412.00960
We report on numerical simulations of the two-dimensional spin-$1$ Blume-Capel ferromagnet embedded in a triangular lattice. Utilizing a range of Monte Carlo and finite-size scaling techniques, we explore several critical aspects along the crystal fi
Externí odkaz:
http://arxiv.org/abs/2411.11689
Super-Eddington accretion onto stellar-mass compact objects powers fast outflows in Ultra-Luminous X-ray sources (ULXs). Such outflows, which can reach mildly relativistic velocities, are often observed forming bubble structures. Wind bubbles are exp
Externí odkaz:
http://arxiv.org/abs/2411.08762
A key challenge for Deep Neural Network (DNN) algorithms is their vulnerability to adversarial attacks. Inherently non-deterministic compute substrates, such as those based on Analog In-Memory Computing (AIMC), have been speculated to provide signifi
Externí odkaz:
http://arxiv.org/abs/2411.07023
Autor:
Büchel, Julian, Camposampiero, Giacomo, Vasilopoulos, Athanasios, Lammie, Corey, Gallo, Manuel Le, Rahimi, Abbas, Sebastian, Abu
Kernel functions are vital ingredients of several machine learning algorithms, but often incur significant memory and computational costs. We introduce an approach to kernel approximation in machine learning algorithms suitable for mixed-signal Analo
Externí odkaz:
http://arxiv.org/abs/2411.03375
Monte Carlo study of the two-dimensional kinetic Ising model under a nonantisymmetric magnetic field
Autor:
Vatansever, Zeynep Demir, Vatansever, Erol, Berger, Andreas, Vasilopoulos, Alexandros, Fytas, Nikolaos G.
Publikováno v:
Phys. Rev. E 110, 064155 (2024)
We present a comprehensive numerical study of dynamic phase transitions in the two-dimensional kinetic Ising model under a non-antisymmetric time-dependent magnetic field including a sinusoidal term and a second harmonic component. We demonstrate tha
Externí odkaz:
http://arxiv.org/abs/2409.20152
Publikováno v:
J. Stat. Mech. (2024) 103204
We analyse the probability distribution functions of the energy and magnetisation of the two-dimensional Blume-Capel and Baxter-Wu models with spin values $S \in \{1/2,1, 3/2\}$ in the presence of a crystal field $\Delta$. By employing extensive sing
Externí odkaz:
http://arxiv.org/abs/2407.05387
Publikováno v:
Phys. Rev. B 109, 245403 (2024)
We study a system composed of graphene decorated with an array of islands with C_3v symmetry that induce quantum dot (IQD) regions via proximity effects and give rise to several spin-orbit couplings (SOCs). We evaluate transport properties for an arr
Externí odkaz:
http://arxiv.org/abs/2406.02393
We model the spectral formation occurring in the binary X-ray pulsar RX~J0209.6-7427 during the 2019 super-Eddington outburst. Using a theoretical model previously developed by the authors, we are able to produce spectra that closely resemble the pha
Externí odkaz:
http://arxiv.org/abs/2404.16202
Autor:
Ortner, Thomas, Petschenig, Horst, Vasilopoulos, Athanasios, Renner, Roland, Brglez, Špela, Limbacher, Thomas, Piñero, Enrique, Barranco, Alejandro Linares, Pantazi, Angeliki, Legenstein, Robert
There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment site. However, current AI models struggle in such scenarios,
Externí odkaz:
http://arxiv.org/abs/2405.05141