Aerodynamic design optimization has evolved into a mature discipline that integrates computational fluid dynamics, sensitivity analysis and optimisation algorithms to refine shapes and configurations ...
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 ...
Researchers identify fabrication constraints, reinforcement integration, sensing, and quality control as key factors in ...
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