Aerodynamic design optimization has evolved into a mature discipline that integrates computational fluid dynamics, sensitivity analysis and optimisation algorithms to refine shapes and configurations ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Researchers identify fabrication constraints, reinforcement integration, sensing, and quality control as key factors in ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...