Zobrazeno 1 - 10
of 8 099
pro vyhledávání: '"A. A. Benali"'
Autor:
Moutuou, El-kaïoum M., Benali, Habib
The brain's synaptic network, characterized by parallel connections and feedback loops, drives information flow between neurons through a large system with infinitely many degrees of freedom. This system is best modeled by the graph $C^*$-algebra of
Externí odkaz:
http://arxiv.org/abs/2410.18222
Autor:
Moutuou, Elkaïoum M., Benali, Habib
A fundamental paradigm in neuroscience is that cognitive functions -- such as perception, learning, memory, and locomotion -- are shaped by the brain's structural organization. However, the theoretical principles explaining how this physical architec
Externí odkaz:
http://arxiv.org/abs/2408.14221
Autor:
Ahn, Jeonghwan, Hong, Iuegyun, Lee, Gwangyoung, Shin, Hyeondeok, Benali, Anouar, Kwon, Yongkyung, Krogel, Jaron T.
Using diffusion Monte Carlo (DMC) and density functional theory (DFT) calculations, we examined the structural stability and interlayer binding properties of PtSe$_2$, a representative transition metal dichalcogenide (TMD) with strong interlayer inte
Externí odkaz:
http://arxiv.org/abs/2408.10156
Autor:
Wines, Daniel, Ahn, Jeonghwan, Benali, Anouar, Kent, Paul R. C., Krogel, Jaron T., Kwon, Yongkyung, Mitas, Lubos, Reboredo, Fernando A., Rubenstein, Brenda, Saritas, Kayahan, Shin, Hyeondeok, Štich, Ivan, Ataca, Can
The field of two-dimensional (2D) materials has grown dramatically in the last two decades. 2D materials can be utilized for a variety of next-generation optoelectronic, spintronic, clean energy, and quantum computation applications. These 2D structu
Externí odkaz:
http://arxiv.org/abs/2406.02753
Autor:
Khan, Danish, Benali, Anouar, Kim, Scott Y. H., von Rudorff, Guido Falk, von Lilienfeld, O. Anatole
The Vector-QM24 (VQM24) dataset attempts to more comprehensively cover all possible neutral closed shell small organic and inorganic molecules and their conformers at state of the art level of theory. We have used density functional theory ($\omega$B
Externí odkaz:
http://arxiv.org/abs/2405.05961
Autor:
Otten, Matthew, Kang, Byeol, Fedorov, Dmitry, Benali, Anouar, Habib, Salman, Alexeev, Yuri, Gray, Stephen K.
As quantum hardware continues to improve, more and more application scientists have entered the field of quantum computing. However, even with the rapid improvements in the last few years, quantum devices, especially for quantum chemistry application
Externí odkaz:
http://arxiv.org/abs/2404.16351
Autor:
Shin, Hyeondeok, Gasperich, Kevin, Rojas, Tomas, Ngo, Anh T., Krogel, Jaron T., Benali, Anouar
Accurate determination of electronic properties of correlated oxides remains a significant challenge for computational theory. Traditional Hubbard-corrected density functional theory (DFT+U) frequently encounters limitations in precisely capturing el
Externí odkaz:
http://arxiv.org/abs/2403.03466
In this paper, we construct the slowly rotating case of an asymptotically flat supermassive black hole embedded in dark matter using Newman-Janis procedure. Our analysis is carried with respect to the involved parameters including the halo total mass
Externí odkaz:
http://arxiv.org/abs/2401.02341
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 28813-28827 (2024)
In the present work, we have established some new fractional integral inequalities for functions whose $ k $th-derivatives are generalized modified $ h $-convex and symmetric about the midpoint involving the Caputo fractional derivatives. Many partic
Externí odkaz:
https://doaj.org/article/a1cc45158a854652bf92393be45532ac
Radio frequency (RF) data contain richer information compared to other data types, such as envelope or B-mode, and employing RF data for training deep neural networks has attracted growing interest in ultrasound image processing. However, RF data is
Externí odkaz:
http://arxiv.org/abs/2308.11833