Radiation Science: From Detection to Practical Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Physics General".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 122
Special Issue Editors
Interests: dielectric materials; radiation-induced conductivity; electrical discharges; electrostatic
Special Issue Information
Dear Colleagues,
To foster innovation in the field of radiation science, Applied Sciences is pleased to launch a Special Issue on “Radiation Science: From Detection to Practical Applications”. Radiation has long been a transformative force in science and technology, serving as a cornerstone across diverse fields such as medicine, environmental monitoring, industrial processes, aeronautics, spacecraft systems, nuclear technologies, material science, and more.
In recent years, the development of novel detection technologies, innovative applications, and enhanced computational methods have accelerated the progress in this field; however, challenges persist in enhancing the sensitivity, cost-effectiveness, environmental sustainability, and reliability of radiation detection systems. This Special Issue is dedicated to showcasing the latest advancements in radiation detection technologies and their diverse applications. Contributions are invited from all aspects of the field, including experimental studies, modelling and simulation approaches, and practical implementations. Topics of interest include, but are not limited to, the following:
Development of advanced radiation sensors.
Environmental radiation monitoring and mitigation strategies.
Machine learning and AI in radiation data analysis.
Emerging applications of radiation in medicine, security, and defense.
Challenges in calibration and standardisation of radiation systems.
We believe that this Special Issue will inspire innovative ideas and collaborations, providing a platform for bridging the gap between fundamental research and applications.
We look forward to receiving your high-quality contributions that will inspire new research and drive innovation in this dynamic field.
Dr. Rachelle Hanna
Prof. Dr. J. R. Dennison
Guest Editors
Manuscript Submission Information
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Keywords
- advanced radiation monitoring
- radiation science
- material science and electronics for radiation systems
- radiation sensing and instrumentation
- machine learning in radiation data analysis
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