Zobrazeno 1 - 10
of 64 949
pro vyhledávání: '"A. Kraft"'
Autor:
Abert, Claas, Bruckner, Florian, Voronov, Andrey, Lang, Martin, Pathak, Swapneel Amit, Holt, Samuel, Kraft, Robert, Allayarov, Ruslan, Flauger, Peter, Koraltan, Sabri, Schrefl, Thomas, Chumak, Andrii, Fangohr, Hans, Suess, Dieter
We present NeuralMag, a flexible and high-performance open-source Python library for micromagnetic simulations. NeuralMag leverages modern machine learning frameworks, such as PyTorch and JAX, to perform efficient tensor operations on various paralle
Externí odkaz:
http://arxiv.org/abs/2411.11725
Autor:
Melio, Julio, Riedel, Solenn, Azadbakht, Ali, Cure, Silvana A. Caipa, Evers, Tom M. J., Babaei, Mehrad, Mashaghi, Alireza, de Graaf, Joost, Kraft, Daniela J.
Catalytic microswimmers typically swim close to walls due to hydrodynamic and/or phoretic effects. The walls in turn are known to affect their propulsion, making it difficult to single out the contributions that stem from particle-based catalytic pro
Externí odkaz:
http://arxiv.org/abs/2411.11656
Autor:
Honz, Florian, Müllner, Paul, Hentschel, Michael, Nevlacsil, Stefan, Kraft, Jochen, Sagmeister, Martin, Walther, Philip, Hainberger, Rainer, Schrenk, Bernhard
We show simplified DPS-QKD using a SiN micro-ring resonator operated at 852 nm. A raw-key rate of up to 25.3 kb/s is reached at a QBER suitable for secure-key extraction. Short-reach QKD operation is maintained for zero-touch link layouts with C-band
Externí odkaz:
http://arxiv.org/abs/2411.08721
Autor:
Hassan, Mohamed Abul, Sun, Pu, Zhou, Xiangnan, Kraft, Lisanne, Hadfield, Kelsey T, Ehrlich, Katjana, Qi, Jinyi, Birkeland, Andrew, Marcu, Laura
This study introduces a novel data-centric approach to improve real-time surgical guidance using fiber-based fluorescence lifetime imaging (FLIm). A key aspect of the methodology is the accurate detection of the aiming beam, which is essential for lo
Externí odkaz:
http://arxiv.org/abs/2411.07395
Understanding the physics of the integrable spin-1/2 XXZ chain has witnessed substantial progress, due to the development and application of sophisticated analytical and numerical techniques. In particular, infinite-temperature magnetization transpor
Externí odkaz:
http://arxiv.org/abs/2410.22586
Autor:
Lee, Dong-Ho, Kraft, Adam, Jin, Long, Mehta, Nikhil, Xu, Taibai, Hong, Lichan, Chi, Ed H., Yi, Xinyang
Recent progress in large language models (LLMs) offers promising new approaches for recommendation system (RecSys) tasks. While the current state-of-the-art methods rely on fine-tuning LLMs to achieve optimal results, this process is costly and intro
Externí odkaz:
http://arxiv.org/abs/2410.16458
Autor:
Machacek, Marie E., Jones, Christine, Kraft, Ralph P., Forman, William R., Roediger, Elke, Sheardown, Alex, Wan, Jenny T.
Publikováno v:
The Astrophysical Journal, 958, (2023), 93
Analyses of major group mergers are key to understanding the evolution of large-scale structure in the Universe and the microphysical properties of the hot gas in these systems. We present imaging and spectral analyses of deep Chandra observations of
Externí odkaz:
http://arxiv.org/abs/2410.06196
Detecting arousals in sleep is essential for diagnosing sleep disorders. However, using Machine Learning (ML) in clinical practice is impeded by fundamental issues, primarily due to mismatches between clinical protocols and ML methods. Clinicians typ
Externí odkaz:
http://arxiv.org/abs/2409.13367
Autor:
Rhea, Carter, Hlavacek-Larrondo, Julie, Adam, Alexandre, Kraft, Ralph, Bogdan, Akos, Perreault-Levasseur, Laurence, Prunier, Marine
Recent advances in machine learning algorithms have unlocked new insights in observational astronomy by allowing astronomers to probe new frontiers. In this article, we present a methodology to disentangle the intrinsic X-ray spectrum of galaxy clust
Externí odkaz:
http://arxiv.org/abs/2409.10711
Autor:
Lyskova, N., Churazov, E., Khabibullin, I., Bikmaev, I. F., Burenin, R. A., Forman, W. R., Khamitov, I. M., Rajpurohit, K., Sunyaev, R., Jones, C., Kraft, R., Zaznobin, I., Gorbachev, M. A., Suslikov, M. V., Gumerov, R. I., Sakhibullin, N. A.
Massive clusters of galaxies are very rare in the observable Universe. Even rarer are mergers of such clusters observed close to pericenter passage. Here, we report on one such case: a massive (~ $10^{15}\,M_\odot$) and hot (kT ~ 10 keV) cluster CL02
Externí odkaz:
http://arxiv.org/abs/2409.07856