The research team (NEAL) at the University of South China has proposed an innovative radiation-shielding optimization method based on a reference-point-selection strategy. This method has been successfully applied to the optimization of radiation-shielding designs for nuclear reactors. By integrating genetic algorithms with artificial bee colony algorithms, the method substantially improves the lightweight, compact, and radiation protection performance of shielding structures, thereby providing vital technical support for the design of nuclear reactors.The research team (NEAL) at the University of South China has proposed an innovative radiation-shielding optimization method based on a reference-point-selection strategy. This method has been successfully applied to the optimization of radiation-shielding designs for nuclear reactors. By integrating genetic algorithms with artificial bee colony algorithms, the method substantially improves the lightweight, compact, and radiation protection performance of shielding structures, thereby providing vital technical support for the design of nuclear reactors.

Imagine a natural fortress standing strong against raging storms. That’s what mangroves and other forested wetlands do for our coastlines. But how well do they protect us, and against which storms? Researchers from Sun Yat-Sen University, China and the Royal Netherlands Institute for Sea Research (NIOZ) have uncovered a new and easy method to predict the effectiveness of these natural barriers during extreme weather events. This is an important new insight and tool for coastal managers and policymakers.

A new study in Engineering presents an adaptive quantum computing-based model predictive control strategy for building energy management. It aims to boost energy efficiency and decarbonize buildings, and experiments show promising results in reducing energy consumption and carbon emissions.