Departament de Física: Enviaments recents

Ara es mostren els items 1-12 de 3296

    • Prospects for combined analyses of hadronic emission from gamma-ray sources in the Milky Way with CTA and KM3NeT 

      Unbehaun, Tim; Mohrmann, Lars; Funk, Stefan; Aiello, Sebastiano; Albert, Arnauld; Alves Garre, Sergio; Aly, Zineb; Ambrosone, Antonio; Ameli, Fabrizio; André, Michel; Androutsou, E.; Anghinolfi, Marco; Anguita, M.; Aphecetche, Laurent; Ardid Ramírez, Miguel (springer-Verlag, 2024-02-02)
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      The Cherenkov Telescope Array and the KM3NeT neutrino telescopes are major upcoming facilities in the fields of gamma-ray and neutrino astronomy, respectively. Possible simultaneous production of rays and neutrinos in ...

    • Competing order in two-band Bose-Hubbard chains with extended-range interactions 

      Watanabe, Yuma; Bhattacharya, Utso; Chhajlany, Ravindra W.; Argüello Luengo, Javier; Lewenstein, Maciej; Grass, Tobias Daniel (American Physical Society (APS), 2024-03)
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      Motivated by the recent progress in realizing and controlling extended Bose-Hubbard systems using excitonic or atomic devices, the present Letter theoretically investigates the case of a two-band Bose-Hubbard chain with ...

    • Eigenstate thermalization and its breakdown in quantum spin chains with inhomogeneous interactions 

      Wang, Ding-Zu; Zhu, Hao; Cui, Jian; Argüello Luengo, Javier; Lewenstein, Maciej; Zhang, Guo-Feng; Sierant, Piotr; Ran, Shi-Ju (American Physical Society (APS), 2024-01-15)
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      The eigenstate thermalization hypothesis (ETH) is a successful theory that establishes the criteria for ergodicity and thermalization in isolated quantum many-body systems. In this work, we investigate the thermalization ...

    • Sound transmission loss enhancement through triple-peak coupled resonances acoustic metamaterials 

      Sal Anglada, Gaston; Yago Llamas, Daniel; Cante Terán, Juan Carlos; Oliver Olivella, Xavier; Roca Cazorla, David (2024-03-15)
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      Coupled resonances mechanisms combined with the notion of acoustic metamaterials offer exceptional sound insulation capabilities, even at the challenging low frequency ranges below 1000 Hz. In this context, the concept of ...

    • The role of COVID-19 vaccines in preventing post-COVID-19 thromboembolic and cardiovascular complications 

      Mercadé Besora, Núria; Li, Xintong; Kolde, Raivo; Trinh, Nhung; Sanchez Santos, Maria; Man, Wai Yi; Roel Herranz, Elena; Reyes, Carlen; Delmestri, Antonella; Nordeng, Hedvig; Uusküla, Anneli; Duarte-Salles, Thalita; Prats Soler, Clara; Prieto Alhambra, Daniel; Català, Martí (2024-03-12)
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      Objective To study the association between COVID-19 vaccination and the risk of post-COVID-19 cardiac and thromboembolic complications. Methods We conducted a staggered cohort study based on national vaccination campaigns ...

    • Assessment of noise of MEMS IMU sensors of different grades for GNSS/IMU navigation 

      Suvorkin, Vladimir; García Fernández, Miquel; González Casado, Guillermo; Li, Mowen; Rovira Garcia, Adrià (Multidisciplinary Digital Publishing Institute (MDPI), 2024-03-19)
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      Inertial measurement units (IMUs) are key components of various applications including navigation, robotics, aerospace, and automotive systems. IMU sensor characteristics have a significant impact on the accuracy and ...

    • The mapping of alpha-emitting radionuclides in the environment using an unmanned aircraft system 

      Royo Chic, Pablo; Vargas Drechsler, Arturo; Guillot Colls, Tania; Sáiz Broch, David; Pichel, Jonathan; Rábago, Daniel; Duch Guillen, María Amor; Grossi, Claudia; Luchkov, Maksym; Dangendorf, Volker; Krasniqi, Faton (Multidisciplinary Digital Publishing Institute (MDPI), 2024-02-29)
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      The protection of first responders from radioactive contamination with alpha emitters that may result from a radiological accident is of great complexity due to the short range of alpha particles in the air of a few ...

    • White dwarf spectral type-temperature distribution from Gaia DR3 and the Virtual Observatory 

      Torres Gil, Santiago; Cruz Gamba, Patricia; Murillo Ojeda, Raquel; Jiménez Esteban, F. M.; Rebassa Mansergas, Alberto; Solano Márquez, Enrique; Camisassa, María Eugenia; Raddi, Roberto; Doliguez Le Lourec, J. (EDP Sciences, 2023-09-21)
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      Context. The characterization of white dwarf atmospheres is crucial for accurately deriving stellar parameters such as effective temperature, mass, and age. However, the inclusion of physical processes such as convective ...

    • Microstructure of compacted low-plasticity soils: the initial fabric and its evolution on stress and suction paths 

      González Blanco, Laura; Romero Morales, Enrique Edgar; Pinyol Puigmartí, Núria Mercè; Alonso Pérez de Agreda, Eduardo (EDP Sciences, 2023)
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      Soils used in earthworks undergo different hydro-mechanical paths due to the compaction and construction process, the change in climatic conditions or the groundwater level oscillations. Their hydro- mechanical behaviour ...

    • Self-sealing of boom clay after gas transport 

      González Blanco, Laura; Romero Morales, Enrique Edgar; Levasseur, Severine (Springer, 2023-01-01)
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      In the geological disposal of high-level radioactive waste in argillaceous rocks, studying the barrier integrity after gas transport and the pathway closure thanks to self-sealing capacity is a crucial aspect for the safety ...

    • Shoreline response to sea-level rise according to equilibrium beach profiles 

      Luque Lozano, Pau; Gómez-Pujol, Lluís; Ribas Prats, Francesca; Falqués Serra, Albert; Marcos Moreno, Marta; Orfila, Alejandro (Springer, 2023-09-22)
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      Shoreline position is a key parameter of a beach state, often used as a descriptor of the response of the system to changes in external forcing, such as sea-level rise. Changes in shoreline position are the result of coupled ...

    • Machine learning in solid mechanics: Application to acoustic metamaterial design 

      Yago Llamas, Daniel; Sal Anglada, Gaston; Roca Cazorla, David; Cante Terán, Juan Carlos; Oliver Olivella, Xavier (John Wiley & sons, 2024-04-05)
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      Machine learning (ML) and Deep learning (DL) are increasingly pivotal in the design of advanced metamaterials, seamlessly integrated with material or topology optimization. Their intrinsic capability to predict and ...