Zobrazeno 1 - 10
of 109 317
pro vyhledávání: '"Angel, P"'
We perform extensive simulations of the two-dimensional cavity-coupled electron gas in a modulating potential as a minimal model for cavity quantum materials. These simulations are enabled by a newly developed quantum-electrodynamical (QED) auxiliary
Externí odkaz:
http://arxiv.org/abs/2412.19222
Publikováno v:
2023 IEEE International Conference on Big Data 1 (1), 6207 - 6211
Indicators of Compromise (IoCs) play a crucial role in the rapid detection and mitigation of cyber threats. However, the existing body of literature lacks in-depth analytical studies on the temporal aspects of IoC publication, especially when conside
Externí odkaz:
http://arxiv.org/abs/2412.19086
Building trust between humans and robots has long interested the robotics community. Various studies have aimed to clarify the factors that influence the development of user trust. In Human-Robot Interaction (HRI) environments, a critical aspect of t
Externí odkaz:
http://arxiv.org/abs/2412.18516
Autor:
Sengupta, Bidisha, Alrubayan, Mousa, Wang, Yibin, Mallet, Esther, Torres, Angel, Solis, Ravyn, Wang, Haifeng, Pradhan, Prabhakar
Biofilms are resistant microbial cell aggregates that pose risks to health and food industries and produce environmental contamination. Accurate and efficient detection and prevention of biofilms are challenging and demand interdisciplinary approache
Externí odkaz:
http://arxiv.org/abs/2412.18205
Autor:
Shin, Dongbin, Pavošević, Fabijan, Tancogne-Dejean, Nicolas, Buzzi, Michele, Boström, Emil Viñas, Rubio, Angel
Recent studies of organic molecular solids are highlighted by their complex phase diagram and light-induced phenomena, such as Mott insulator, spin liquid phase, and superconductivity. However, a discrepancy between experimental observation and first
Externí odkaz:
http://arxiv.org/abs/2412.18088
Autor:
Llamazares-Elias, Samir, Tocino, Angel
The ability of $\theta$-Milstein methods with $\theta\ge 1$ to capture the non-negativity and the mean-reversion property of the exact solution of the CIR model is shown. In addition, the order of convergence and the preservation of the long-term var
Externí odkaz:
http://arxiv.org/abs/2412.17983
Websites, as essential digital assets, are highly vulnerable to cyberattacks because of their high traffic volume and the significant impact of breaches. This study aims to enhance the identification of web traffic attacks by leveraging machine learn
Externí odkaz:
http://arxiv.org/abs/2412.16791
Autor:
Chang, Jen-Hao Rick, Wang, Yuyang, Martin, Miguel Angel Bautista, Gu, Jiatao, Susskind, Josh, Tuzel, Oncel
We introduce Shape Tokens, a 3D representation that is continuous, compact, and easy to incorporate into machine learning models. Shape Tokens act as conditioning vectors that represent shape information in a 3D flow-matching model. The flow-matching
Externí odkaz:
http://arxiv.org/abs/2412.15618
We detail our implementation of the random-phase-approximation based functional (RPAF) derived in our previous publication [Phys. Rev. B 110, 195151 (2024)] for the QUANTUM ESPRESSO (QE) package. We also make available the source files required in or
Externí odkaz:
http://arxiv.org/abs/2412.16017
The 6GENABLERS-DLT project addresses critical challenges in fostering multi-party collaboration within dynamic 6G environments. As operators and service providers increasingly depend on third-party resources to meet their contractual and operational
Externí odkaz:
http://arxiv.org/abs/2412.14977