Zobrazeno 1 - 10
of 11 775
pro vyhledávání: '"Arlt A"'
Artificial Intelligence (AI) has the potential to significantly advance scientific discovery by finding solutions beyond human capabilities. However, these super-human solutions are often unintuitive and require considerable effort to uncover underly
Externí odkaz:
http://arxiv.org/abs/2406.02470
Autor:
Gault, Baptiste, Saksena, Aparna, Sauvage, Xavier, Bagot, Paul, Aota, Leonardo S., Arlt, Jonas, Belkacemi, Lisa T., Boll, Torben, Chen, Yi-Sheng, Daly, Luke, Djukic, Milos B., Douglas, James O., Duarte, Maria J., Felfer, Peter J., Forbes, Richard G., Fu, Jing, Gardner, Hazel M., Gemma, Ryota, Gerstl, Stephan S. A., Gong, Yilun, Hachet, Guillaume, Jakob, Severin, Jenkins, Benjamin M., Jones, Megan E., Khanchandani, Heena, Kontis, Paraskevas, Krämer, Mathias, Kühbach, Markus, Marceau, Ross K. W., Mayweg, David, Moore, Katie L., Nallathambi, Varatharaja, Ott, Benedict C., Poplawsky, Jonathan D, Prosa, Ty, Pundt, Astrid, Saha, Mainak, Schwarz, Tim M., Shang, Yuanyuan, Shen, Xiao, Vrellou, Maria, Yu, Yuan, Zhao, Yujun, Zhao, Huan, Zou, Bowen
As hydrogen is touted as a key player in the decarbonization of modern society, it is critical to enable quantitative H analysis at high spatial resolution, if possible at the atomic scale. Indeed, H has a known deleterious impact on the mechanical p
Externí odkaz:
http://arxiv.org/abs/2405.13158
Online advertising represents a main instrument for publishers to fund content on the World Wide Web. Unfortunately, a significant number of online advertisements often accommodates potentially malicious content, such as cryptojacking hidden in web b
Externí odkaz:
http://arxiv.org/abs/2404.14190
Autor:
Vibel, Toke, Christensen, Mikkel Berg, Andersen, Rasmus Malthe Fiil, Stokholm, Laurits Nikolaj, Pawłowski, Krzysztof, Rzążewski, Kazimierz, Kristensen, Mick Althoff, Arlt, Jan Joachim
Publikováno v:
J. Phys. B: At. Mol. Opt. Phys. 57 195301 (2024)
The investigation of the fluctuations in interacting quantum systems at finite temperatures showcases the ongoing challenges in understanding complex quantum systems. Recently, atom number fluctuations in weakly interacting Bose-Einstein condensates
Externí odkaz:
http://arxiv.org/abs/2403.15047
Autor:
Schmidt, Philipp, Arlt, Sören, Ruiz-Gonzalez, Carlos, Gu, Xuemei, Rodríguez, Carla, Krenn, Mario
Publikováno v:
Machine Learning: Science and Technology 5, 035045 (2024)
Generative Artificial Intelligence (AI) models can propose solutions to scientific problems beyond human capability. To truly make conceptual contributions, researchers need to be capable of understanding the AI-generated structures and extracting th
Externí odkaz:
http://arxiv.org/abs/2403.00834
Autor:
Vibel, Toke, Christensen, Mikkel Berg, Kristensen, Mick Althoff, Thuesen, Jeppe Juhl, Stokholm, Laurits Nikolaj, Weidner, Carrie Ann, Arlt, Jan Joachim
Publikováno v:
J. Phys. B: At. Mol. Opt. Phys. 57, 145301 (2024)
The accurate determination of atom numbers is an ubiquitous problem in the field of ultracold atoms. For modest atom numbers, absolute calibration techniques are available, however, for large numbers and high densities, the available techniques negle
Externí odkaz:
http://arxiv.org/abs/2402.06514
The physics of impurities in a bosonic quantum environment is a paradigmatic and challenging many-body problem that remains to be understood in its full complexity. Here, this problem is investigated for impurities with strong repulsive interactions
Externí odkaz:
http://arxiv.org/abs/2310.18183
Driven by human ingenuity and creativity, the discovery of super-resolution techniques, which circumvent the classical diffraction limit of light, represent a leap in optical microscopy. However, the vast space encompassing all possible experimental
Externí odkaz:
http://arxiv.org/abs/2310.08408
Publikováno v:
Machine Learning: Science and Technology 5, 015029 (2024)
Despite their promise to facilitate new scientific discoveries, the opaqueness of neural networks presents a challenge in interpreting the logic behind their findings. Here, we use a eXplainable-AI (XAI) technique called $inception$ or $deep$ $dreami
Externí odkaz:
http://arxiv.org/abs/2309.07056
Autor:
Fadil Inceoglu, Rainer Arlt
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In this study, we simulate 30,000 years of solar activity using turbulent-alpha (TA) and Babcock–Leighton (BL) mechanisms in a non-kinematic, nonlinear mean field flux-transport solar dynamo model. We evaluate their performances against ob
Externí odkaz:
https://doaj.org/article/5f92f0b749e7448682c2c6cadbe2b142
