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

A blue laser, with 473nm wavelength favored,  meeting the Navy’s requirement for size, power/energy, efficiency, and robustness is long sought. However, the system that could be successfully deployed on the aircraft (especially unmanned) is yet to be realized. The main reason is that it takes a lot of design time, verification, and field refinement to build a complex state-of-the-art  system when the specs are pre-determined, and there is no way to sacrifice several specs for the sake of achieving the others. There has been great edvancement in using deep neural networks to help solving multiple industrial tasks. TIPD LLC, proposes to develop a power scalable blue laser system solution that will meet the size, weight, performance, and reliability requirements specified by Navy via a Multiphysics-based, deep neural network, (machine learning) ML process, which would accelerate the development cycle time of the laser aided by the ML compared to the conventional “manual” design process by at least a factor of 50. In Phase I of the project, we will show the feasibility of our approach followed by Phase II demonstration of fully automated blue laser design algorithms using ML methodology based on initial concept of Phase I.