Total Articles : 3
Machine Learning-Based Nuclear Reactor Fault Detection Using Multivariate Sensor Data
Abstract: Reliable fault detection is an essential requirement for safe and stable nuclear reactor operation because abnormal variations in temperature, pressure, coolant flow, neutron flux, and other process variables can develop rapidly during transient …
[This section belongs to Journal of Nuclear Engineering & Technology ]
Thorium Nuclear Reactor: A Sustainable Future for Clean Energy-A Review Study
Abstract: Thorium-232, a naturally abundant and fertile element, is increasingly regarded as a viable alternative to uranium-235 as the basis of future nuclear fuel cycles. This review examines the physical and nuclear properties that make thorium attractive …
[This section belongs to Journal of Nuclear Engineering & Technology ]
Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a …
[This section belongs to Journal of Nuclear Engineering & Technology ]