Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings

> 0.99 for all parameters, enabling inverse design without iterative electromagnetic simulations. This work demonstrates the potential of ensemble learning for accelerating photonic device development and supports scalable platform-based sensor design.