RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

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

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

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

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