3.9k citations
- Centre National de la Recherche ScientifiqueFR208 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR130 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR124 papers
- Université Paris-SaclayFR90 papers
- Massachusetts Institute of TechnologyUS81 papers
- University of SurreyGB76 papers
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- University of WarsawPL68 papers
- Imperial College LondonGB66 papers
- European Organization for Nuclear ResearchCH64 papers
- GSI Helmholtz Centre for Heavy Ion ResearchDE62 papers
200 papers · 1 filter
Coherent phase transfer for real-world twin-field quantum key distribution
Cecilia Clivati, Alice Meda, Simone Donadello +10
Quantum mechanics allows the distribution of intrinsically secure encryption keys by optical means. Twin-field quantum key distribution is the most promising technique for its impl…
Laser spectroscopy of neutron-rich Hg isotopes: Illuminating the kink and odd-even staggering in charge radii across the shell closure
T. Day Goodacre, A. V. Afanasjev, A. E. Barzakh +41
The mean-square charge radii of Hg () have been studied for the first time and those of Hg () remeasured by the applicat…
Quenching of single-particle strength from direct reactions with stable and rare-isotope beams
T. Aumann, C. Barbieri, D. Bazin +12
In this review article we discuss the present status of direct nuclear reactions and the nuclear structure aspects one can study with them. We discuss the spectroscopic information…
On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator
Kevin Denamganaï, James Alfred Walker
The drivers of compositionality in artificial languages that emerge when two (or more) agents play a non-visual referential game has been previously investigated using approaches b…
Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
V. Babiano-Suárez, J. Lerendegui-Marco, J. Balibrea-Correa +132
i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in () cross-section measurements using time-…
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks
Aleksei Shpilman, Dmitry Boikiy, Marina Polyakova +3
Microtubule networks (MTs) are a component of a cell that may indicate the presence of various chemical compounds and can be used to recognize properties such as treatment resistan…