Investigations of radiation properties, photon interaction parameters and water equivalence of some polymers used in the construction of ionization chambers for low energy X-ray beams

Architecture Prediction of 3D Composites Using Machine Learning and No‐Destructive Technique

“…[21] In nondestructive testing, elastic waves are used to detect flaws or defects in materials or structures. [21][22][23][24][25][26][27][28][29][30] However, in the case of the composites, the signals generated by elastic waves might be challenging to understand due to the complexity of wave propagation in composite materials and many factors that can influence it. [31,32] To analyze the information contained in output signals, ML models are the best choice since they are powerful in finding complex and nonlinear connections between output signals and the architecture of composites.…”

Visualized X-ray Dosimetry for Multienvironment Applications

“…The detection of X-ray doses has become a crucial research area, − given the wide range of applications for X-rays in industries such as nuclear industry, , medical diagnosis, , industrial material inspection, , and security checks. , Traditional X-ray dose detection methods rely on devices like thermoluminescent dosimeters, − ionization chambers, , and semiconductor detectors, − which require complex readout instruments to convert X-ray energy into electrical signals. − This approach has led to expensive, time-consuming, and unsuitable on-site real-time dose assessment. , In contrast, photochromic materials capable of direct “visualization” under X-ray irradiation offer a direct and visual means of dose assessment, facilitating real-time evaluation of radiation exposure. Consequently, these intelligent visual materials hold considerable promise in the development of easy and portable systems for the elucidation of X-ray presence in visual inspection setups. − …”

“…T he detection of X-ray doses has become a crucial research area, 1−5 given the wide range of applications for X-rays in industries such as nuclear industry, 6,7 medical diagnosis, 8,9 industrial material inspection, 10,11 and security checks. 12,13 Traditional X-ray dose detection methods rely on devices like thermoluminescent dosimeters, 14−16 ionization chambers, 17,18 and semiconductor detectors, 19−21 which require complex readout instruments to convert X-ray energy into electrical signals. 22−24 This approach has led to expensive, timeconsuming, and unsuitable on-site real-time dose assessment.…”