Zobrazeno 1 - 10
of 42 727
pro vyhledávání: '"A. Helm"'
Autor:
Cacciapuoti, L., Busso, A., Jansen, R., Pataraia, S., Peignier, T., Weinberg, S., Crescence, P., Helm, A., Kehrer, J., Koller, S., Lachaud, R., Niedermaier, T., Esnault, F. -X., Massonnet, D., Goujon, D., Pittet, J., Perri, A., Wang, Q., Liu, S., Schaefer, W., Schwall, T., Prochazka, I., Schlicht, A., Schreiber, U., Laurent, P., Lilley, M., Wolf, P., Salomon, C.
The Atomic Clock Ensemble in Space (ACES) mission is developing high performance clocks and links for space to test Einstein's theory of general relativity. From the International Space Station, the ACES payload will distribute a clock signal with fr
Externí odkaz:
http://arxiv.org/abs/2411.02912
Autor:
Maarleveld, R., Veeger, H. E. J., van der Helm, F. C. T., Son, J., Lieber, R. L., van der Kruk, E.
Musculoskeletal (MSK) models offer a non-invasive way to understand biomechanical loads on joints and tendons, which are difficult to measure directly. Variations in muscle strength, especially relative differences between muscles, significantly impa
Externí odkaz:
http://arxiv.org/abs/2411.00071
Autor:
Semenok, Dmitrii V., Sadakov, Andrei V., Zhou, Di, Sobolevskiy, Oleg A., Helm, Toni, Luther, Sven, Pudalov, Vladimir M., Troyan, Ivan A., Struzhkin, Viktor V.
Publikováno v:
Materials Today Physics, 2024, 101595
Superconducting memory is a promising technology for data storage because of its speed, high energy efficiency, non-volatility, and compatibility with quantum computing devices. However, the need for cryogenic temperatures makes superconducting memor
Externí odkaz:
http://arxiv.org/abs/2410.08730
The recent cohort of publicly available generative models can produce human expert level content across a variety of topics and domains. Given a model in this cohort as a base model, methods such as parameter efficient fine-tuning, in-context learnin
Externí odkaz:
http://arxiv.org/abs/2410.01106
Generative models, such as large language models and text-to-image diffusion models, produce relevant information when presented a query. Different models may produce different information when presented the same query. As the landscape of generative
Externí odkaz:
http://arxiv.org/abs/2409.17308
Autor:
Hornof, Dominik, Helm, Victoria, Rodriguez, Enar de Dios, Juffmann, Thomas, Haslinger, Philipp, Schattschneider, Peter
We present an experimental visualization of the Terrell effect, an optical phenomenon predicted in 1959 by Roger Penrose and James Terrell, which reveals that the Lorentz contraction of a moving object is not visible in a snapshot photograph. Using f
Externí odkaz:
http://arxiv.org/abs/2409.04296
Publikováno v:
Earth System Science Data, Vol 13, Pp 83-97 (2021)
To understand, model, and predict landscape evolution, ecosystem services, and hydrological processes, the availability of detailed observation-based soil data is extremely valuable. For the EstSoil-EH dataset, we synthesized more than 20 eco-hydrolo
Externí odkaz:
https://doaj.org/article/3caf879ebd164fb69590c6f5c47d627c
Autor:
Semenok, Dmitrii V., Troyan, Ivan A., Zhou, Di, Sadakov, Andrei V., Pervakov, Kirill S., Sobolevskiy, Oleg A., Ivanova, Anna G., Galasso, Michele, Alabarse, Frederico Gil, Chen, Wuhao, Xi, Chuanying, Helm, Toni, Luther, Sven, Pudalov, Vladimir M., Struzhkin, Viktor V.
Lanthanum-hydrogen system and its derivatives remain among the most promising for achieving room-temperature superconductivity. In this study, we examined the formation of ternary lanthanum-scandium superhydrides at pressures up to 220 GPa. The prima
Externí odkaz:
http://arxiv.org/abs/2408.07477
Autor:
Oakley, Jordan L., Svalova, Aleksandra, Helm, Peter, Rouainia, Mohamed, Glendinning, Stephanie, Prangle, Dennis, Wilkinson, Darren
The stability of geotechnical infrastructure assets, such as cuttings and embankments, is crucial to the safe and efficient delivery of transport services. The successful emulation of geotechnical models of deterioration of infrastructure slopes has
Externí odkaz:
http://arxiv.org/abs/2407.11597
Autor:
Li, Yanli, Hassanzadeh, Tahereh, Shamonin, Denis P., Reijnierse, Monique, Mil, Annette H. M. van der Helm-van, Stoel, Berend C.
Understanding the decisions of deep learning (DL) models is essential for the acceptance of DL to risk-sensitive applications. Although methods, like class activation maps (CAMs), give a glimpse into the black box, they do miss some crucial informati
Externí odkaz:
http://arxiv.org/abs/2407.01142