Accelerated High-Power Blue Laser Design Cycle Enabled by Deep Neural Networks

Aqwest LLC proposes to develop an automated design process using using neural networksĀ and machine learningĀ algorithms, which is adapted for a high-peak-power for a blue laser system with high-repetition-rate. The neural networks-machine learning process will generate blue laser system designs meeting the Navy size, weight, performance, and reliability requirements 50 times faster compared to the conventional ōmanualö laser design process. The neural networks-machine learning offers key benefits to the US Navy, namely anĀautomated blue laser design algorithms generating results within ▒5% variation of the target, which addresses all design parameters of a multistage laser architecture. The algorithmsĀwill beĀverified on a physical prototype and benchmarked to verify time reduction.ĀThe resulting algorithms supportĀa range of blue laser architectures including solid-state laser and optical parametric oscillators. They are also adaptable toĀdesigning and optimizing of a broad range of laser systems, and extendableĀto address multi-parameter problems in other fields.