2025-10-16 08:09 |
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2025-10-14 15:08 |
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2025-10-13 12:03 |
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2025-10-07 14:01 |
[FZJ-2025-04037]
Journal Article/Contribution to a conference proceedings
El-Kordy, T. ; Engels, R. W. ; Faatz, N. ; et al
Tests of amorphous carbon-coated storage cells for a polarized gas target at LHCb and further results
2025The 11th International Conference on Nuclear Physics at Strorage Rings, STORI´24, HuizhouHuizhou, Peoples R China, 18 Nov 2024 - 22 Nov 20242024-11-182024-11-22
Chinese physics / C 49(8), 084002 - (2025) [10.1088/1674-1137/add70e]2025
As the LHC beams cannot be polarized, introducing a dense polarized gas target at the LHCb experiment at CERN, to be operated concurrently with beam-beam collisions, will facilitate fixed-target interactions to explore a new energy regime of spin physics measurements. Unfortunately, typical surface coatings used to avoid polarization losses, such as water, Teflon, or aluminum, are prohibited due to restrictions imposed by vacuum and beam policies. [...]
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2025-10-07 13:59 |
[FZJ-2025-04036]
Journal Article/Contribution to a conference proceedings/Contribution to a book
van der Vlag, M. ; Yegenoglu, A. ; Jimenez-Romero, C. ; et al
Complexity and Criticality in Neuro-Inspired Reservoirs
2026[Ebook] Artificial Neural Networks and Machine Learning – ICANN 2025 : 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I / Senn, Walter ; Sanguineti, Marcello ; Saudargiene, Ausra ; Tetko, Igor ; Villa, Alessandro E. P. ; Jirsa, Viktor K. ; Bengio, Yoshua 1st ed. 2026, Cham : Springer Nature Switzerland, 2026, 34th International Conference on Artificial Neural Networks, ICANN, KaunasKaunas, Lithuania, 9 Sep 2025 - 12 Sep 20252025-09-092025-09-12
Artificial Neural Networks and Machine Learning – ICANN 2025 / Senn, Walter (Editor) [https://orcid.org/0000-0003-3622-0497] ; Cham : Springer Nature Switzerland, 2026, Chapter 52 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-032-04557-7=978-3-032-04558-4 ; doi:10.1007/978-3-032-04558-4 16068(LNCS), : 1st ed. 2026, 645 - 657 (2026) [10.1007/978-3-032-04558-4_52]2026
Understanding information propagation and computational capabilities in large-scale brain models is crucial for advancing both neuroscience and neuro-inspired computing. It remains unknown how complexity affects the performance of simulated biological networks in predicting non-linear dynamics. [...]
OpenAccess: PDF; External link: Fulltext
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2025-10-02 11:38 |
[FZJ-2025-03954]
Contribution to a conference proceedings
Thönnißen, J. ; Oliveira, S. ; Oberstraß, A. ; et al
A Perspective on FAIR and Scalable Access to Large Image Data
20252nd Conference on Research Data Infrastructure (CoRDI), CoRDI, AachenAachen, Germany, 26 Aug 2025 - 28 Aug 20252025-08-262025-08-28
Zenodo 1-3 (2025) [10.5281/zenodo.16736220]2025
The rapid development of new imaging technologies across scientific domains–especially high-throughput technologies–results in a growing volume of image datasets in the Tera- to Petabyte scale. Efficient visualization and analysis of such massive image resources is critical but remains challenging due to the sheer size of the data, its continuous growth, and the limitations of conventional software tools to address these problems. [...]
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2025-09-29 10:38 |
[FZJ-2025-03918]
Contribution to a conference proceedings
Schatz, M. ; Jovanovic, S. ; Borowec, J. ; et al
A PEM Electrolysis Cell for In Operando NMR and MRI Investigations of MEA Degradation
2025EFCF 2025: Low-Temp. Fuel Cells, Electrolysers & H2 Processing, LucerneLucerne, Switzerland, 1 Jul 2025 - 4 Jul 20252025-07-012025-07-04
1-9 (2025)2025
Proton exchange membrane (PEM) electrolysis is a promising process for sustainable hydrogen production, but its commercialization is delayed by high costs and elusive degradation of membrane electrode assemblies (MEAs) [1]. In operando Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) offer the potential to investigate degradation mechanisms during electrolysis, and thus, provide highly relevant insights for enhanced performance [2,3].In a first part of this contribution, a custom-designed miniature PEM electrolysis cell is presented, fitting the spatial constraints of a 1H coil of a commercially available imaging probe. [...]
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2025-09-25 12:40 |
[FZJ-2025-03888]
Contribution to a conference proceedings/Contribution to a book
Hoven, D. ; van der Kruk, J. ; Warren, C. ; et al
Recent developments and possible applications of the 2.5D GPR full-waveform inversion for high resolution subsurface imaging
20252025 13th International Workshop on Advanced Ground Penetrating Radar (IWAGPR) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-2335-0 - doi:10.1109/IWAGPR65621.2025.11109029 13th International Workshop on Advanced Ground Penetrating Radar, IWAGPR2025, ThessalonikiThessaloniki, Greece, 1 Jul 2025 - 4 Jul 20252025-07-012025-07-04
IEEE 1-4 (2025) [10.1109/IWAGPR65621.2025.11109029]2025
Over the past 15 years, GPR full-waveform inversion (FWI) has shown high potential in a wide range of applications. Since most of these studies have been applied in the computationally attractive 2D environment, limitations emerge with respect to antenna modeling and wave propagation effects, consequently leading to errors in the reconstructed parameters. [...]
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2025-09-18 08:08 |
[FZJ-2025-03778]
Contribution to a conference proceedings
Janotta, B. ; Schalenbach, M. ; Tempel, H. ; et al
Inconsistencies in the Debye-Hückel theory related to the Statistic Foundation and Permittivity
202576th Annual Meeting of the International Society of Electrochemistry, MainzMainz, Germany, 7 Sep 2025 - 12 Sep 20252025-09-072025-09-12
1 pp. (2025)2025
The Debye-Hückel (DH) theory, a cornerstone in modeling ionic activities in electrolytes for over a century, remains widely applied like in equations of state and Onsager’s conductivity theory1. In the DH theory, the distribution of ions around a central ion is calculated assuming electrostatic interactions of point charges that are dispersed in a dielectric continuum2 [...]
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2025-09-16 12:49 |
[FZJ-2025-03724]
Contribution to a conference proceedings
Ihsan, A. Z. ; Fathalla, S. ; Sandfeld, S.
DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials
2023SAC '23: 38th ACM/SIGAPP Symposium on Applied Computing, TallinnTallinn, Estonia, 27 Mar 2023 - 31 Mar 20232023-03-272023-03-31
ACM New York, NY, USA 1746 - 1753 (2023) [10.1145/3555776.3578739]2023
Crystalline materials, such as metals and semiconductors, nearly always contain a special defect type called dislocation. This defect decisively determines many important material properties, e.g., strength, fracture toughness, or ductility. [...]
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