Results 161 to 170 of about 458,052 (359)
Machine learning opportunities for nucleosynthesis studies
Frontiers in Astronomy and Space SciencesNuclear astrophysics is an interdisciplinary field focused on exploring the impact of nuclear physics on the evolution and explosions of stars and the cosmic creation of the elements.
Michael S. Smith, Dan Lu
doaj +1 more source
Computer Graphics Forum, EarlyView.Abstract We present HyperFLINT (Hypernetwork‐based FLow estimation and temporal INTerpolation), a novel deep learning‐based approach for estimating flow fields, temporally interpolating scalar fields, and facilitating parameter space exploration in spatio‐temporal scientific ensemble data. This work addresses the critical need to explicitly incorporate
Hamid Gadirov +5 more
wiley +1 more source
EPJ Web of ConferencesIn this contribution the role of strangeness in astrophysics is discussed and, more precisely, strange hadronic matter in the interior of neutron stars. A special attention is payed to certain phenomena involving strange hadronic matter, such as the hyperon puzzle, kaon condensation and the thermal behaviour of hyperons in neutron star mergers.
openaire +3 more sources
The following scientific areas are reviewed: (1) cosmology and particle physics (particle physics and the early universe, dark matter, and other relics); (2) stellar physics and particles (solar neutrinos, supernovae, and unconventional particle physics);
Aprile, Elena +9 more
core +1 more source
Alternative Approaches for Estimating Highest‐Density Regions
International Statistical Review, EarlyView.Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley +1 more source
Astrophysics and space science — An integration of sciences, Allen J. Mcmahon [PDF]
, 1965 H. Guthart
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Fourier ptychography microscopy for digital pathology
Journal of Microscopy, EarlyView.Abstract Fourier ptychography microscopy (FPM) has made significant progress since its invention in 2013, thanks to its adaptable nature, high resolution, and vast field‐of‐view capabilities. FPM is used in various medical applications across multiple optical wavelengths, from automated digital pathology to radiology and ultraviolet label‐free imaging.
Fraser Eadie +4 more
wiley +1 more source