Results 101 to 110 of about 80,405 (315)
Advanced Engineering Materials, EarlyView.Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello +5 more
wiley +1 more source
Operational data for fault prognosis in particle accelerators with machine learning. [PDF]
Data Brief, 2023 Radaideh MI +3 more
europepmc +1 more source
Neural Networks for Modeling and Control of Particle Accelerators
, 2016 We describe some of the challenges of particle accelerator control, highlight recent advances in neural network techniques, discuss some promising avenues for incorporating neural networks into particle accelerator control systems, and describe a neural ...
Biedron, S. G. +5 more
core +1 more source
Advanced Engineering Materials, EarlyView.This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov +8 more
wiley +1 more source
Cherenkov Radiation in Optical Fibres as a Versatile Machine Protection System in Particle Accelerators. [PDF]
Sensors (Basel), 2023 Wolfenden J +9 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Microstructural evolution and hardness optimization along the cross‐section of friction stir welded AA6061/AlSi10MgMn joints, for electric vehicle battery housings, were investigated. Postweld aging between 170°C and 220°C enhances hardness uniformity within the nugget zone.
Emanuele Ghio, Emanuela Cerri
wiley +1 more source
Explainable physics-based constraints on reinforcement learning for accelerator optimization
Machine Learning: Science and TechnologyWe present a reinforcement learning (RL) framework for optimizing particle accelerator experiments that builds explainable physics-based constraints on agent behavior.
Jonathan Colen +3 more
doaj +1 more source
Particle acceleration by wave scattering off dielectric spheres at whispering-gallery-mode resonance
Physical Review Special Topics. Accelerators and Beams, 2007 The large electromagnetic fields, created in wave scattering near a perfect dielectric sphere at the condition of whispering-gallery-mode resonances, are investigated as driving units for high energy charged particle accelerators.
Władysław Żakowicz
doaj +1 more source
A novel experimental approach to characterize neutron fields at high- and low-energy particle accelerators. [PDF]
Sci Rep, 2022 Braccini S +7 more
europepmc +1 more source
Space Experiments with Particle Accelerators (SEPAC) [PDF]
The purpose of Space Experiments with Particle Accelerators (SEPAC) on the Atmospheric Laboratory for Applications and Science (ATLAS 1) mission, is to carry out active and interactive experiments on and in the earth's ionosphere, atmosphere, and ...
Obayashi, Tatsuzo
core +1 more source