Zobrazeno 1 - 10
of 6 125
pro vyhledávání: '"A. Navon"'
Publikováno v:
Transylvanian Journal of Mathematics and Mechanics, Vol.15, No. 1-2, pp. 17-27, 2023
The present study focuses on a subject of significant interest in fluid dynamics: the identification of a model with decreased computational complexity from numerical code output using Koopman operator theory. A reduced-order modelling method that in
Externí odkaz:
http://arxiv.org/abs/2409.03549
Autor:
Huang, Songtao, Ji, Yunpeng, Repplinger, Thomas, Assumpção, Gabriel G. T., Chen, Jianyi, Schumacher, Grant L., Vivanco, Franklin J., Kurkjian, Hadrien, Navon, Nir
Landau's Fermi-liquid (FL) theory has been successful at the phenomenological description of the normal phase of many different Fermi systems. Using a dilute atomic Fermi fluid with tunable interactions, we investigate the microscopic basis of Landau
Externí odkaz:
http://arxiv.org/abs/2407.13769
We report the numerical observation of a far-from-equilibrium equation of state (EoS) in the Gross-Pitaevskii model. This universal dimensionless EoS is constructed by relating the turbulent cascade's scale-free spectrum amplitude to the energy flux
Externí odkaz:
http://arxiv.org/abs/2407.08738
Autor:
Cai, Shengjuan, Fang, Fangxin, Peuch, Vincent-Henri, Alexe, Mihai, Navon, Ionel Michael, Wang, Yanghua
PM2.5 forecasting is crucial for public health, air quality management, and policy development. Traditional physics-based models are computationally demanding and slow to adapt to real-time conditions. Deep learning models show potential in efficienc
Externí odkaz:
http://arxiv.org/abs/2406.19154
Automatic Speech Recognition (ASR) technology has made significant progress in recent years, providing accurate transcription across various domains. However, some challenges remain, especially in noisy environments and specialized jargon. In this pa
Externí odkaz:
http://arxiv.org/abs/2406.02649
Future network services present a significant challenge for network providers due to high number and high variety of co-existing requirements. Despite many advancements in network architectures and management schemes, congested network links continue
Externí odkaz:
http://arxiv.org/abs/2403.00590
One of the challenges in applying reinforcement learning in a complex real-world environment lies in providing the agent with a sufficiently detailed reward function. Any misalignment between the reward and the desired behavior can result in unwanted
Externí odkaz:
http://arxiv.org/abs/2402.11367
Autor:
Shamsian, Aviv, Navon, Aviv, Zhang, David W., Zhang, Yan, Fetaya, Ethan, Chechik, Gal, Maron, Haggai
Learning in deep weight spaces (DWS), where neural networks process the weights of other neural networks, is an emerging research direction, with applications to 2D and 3D neural fields (INRs, NeRFs), as well as making inferences about other types of
Externí odkaz:
http://arxiv.org/abs/2402.04081
High shares of variable renewable energy necessitate substantial energy storage capacity. However, it remains unclear how to design a market that, on the one hand, ensures a stable and sufficient income for storage firms, and, on the other hand, main
Externí odkaz:
http://arxiv.org/abs/2402.02428
Publikováno v:
SciPost Phys. 17, 024 (2024)
We propose an interferometric method to probe pair correlations in a gas of spin-1/2 fermions. The method consists of a Ramsey sequence where both spin states of the Fermi gas are set in a superposition of a state at rest and a state with a large rec
Externí odkaz:
http://arxiv.org/abs/2312.13960