Recent advances in image data proccesing through deep learning allow for new
optimization and performance-enhancement schemes for radiation detectors and imaging …

The integration of Artificial Intelligence (AI) techniques in the optimization of steel moment
frame structures represents a transformative approach to enhance the design, analysis, and …

The intersection of dynamic compression, high-rate material response and X-ray science
has seen rapid growth, leading to the establishment of specialized end-stations at …

Bright sources of mega-electron volt (MeV) x-rays have many unique applications, including
nuclear physics, radiation oncology, and imaging high areal density systems. High intensity …

Hard X-ray imaging with ultra-high speed acquisition rates using synchrotron-based sources
or free-electron lasers has recently gained significant attention: commercially available …

Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to
integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data …

Ultra-high-speed synchrotron-based hard X-ray (ie above 10 keV) imaging is gaining a
growing interest in a number of scientific domains for tracking non-repeatable dynamic …

In this paper, we investigate the conditions under which direct laser acceleration (DLA) of
electrons in a laser-irradiated plasma can produce distinct photon emission profiles …

Optical imaging is an ancient branch of imaging dating back to thousands of years.
Radiographic imaging and tomography (RadIT), including the first use of X-rays by Wilhelm …

An experimental study on the scintillating behavior of ZnO: Ga crystals was conducted using
a 7-MeV electron accelerator. The ZnO: Ga crystals were grown using both hydrothermal …