Results 121 to 130 of about 2,772,396 (335)
LHC@Home: a BOINC-based volunteer computing infrastructure for physics studies at CERN
The LHC@Home BOINC project has provided computing capacity for numerical simulations to researchers at CERN since 2004, and has since 2011 been expanded with a wider range of applications. The traditional CERN accelerator physics simulation code SixTrack
Barranco Javier +25 more
doaj +1 more source
Accelerator Measurements of Magnetically Induced Radio Emission from Particle Cascades with Applications to Cosmic-Ray Air Showers [PDF]
K. Belov +27 more
openalex +1 more source
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat +6 more
wiley +1 more source
We investigate the possibility of multi-lepton (four and six) signatures, including an exotic signature of same-sign four-lepton (SS4L) as signals of pair production of a doubly charged Higgs in the minimal left-right symmetric model, extended with two ...
Tathagata Ghosh +2 more
doaj +1 more source
The Black Hole Particle Accelerator as a Machine to make Baby Universes [PDF]
General relativity predicts that the inner horizon of an astronomically realistic rotating black hole is subject to the mass inflation instability. The inflationary instability acts like a gravity-powered particle accelerator of extraordinary power ...
Hamilton, A. J. S.
core
Can a nonextremal black hole be a particle accelerator? [PDF]
О. Б. Заславский
openalex +1 more source
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder +6 more
wiley +1 more source
Real electronic signal data from particle accelerator power systems for machine learning anomaly detection. [PDF]
Radaideh MI, Pappas C, Cousineau S.
europepmc +1 more source
Machine learning-based longitudinal phase space prediction of particle accelerators [PDF]
Claudio Emma +5 more
openalex +1 more source
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk +4 more
wiley +1 more source

