Designing surface optical elements of wavegudies

A system, comprising:

• at least one machine learning algorithm;
• at least one processor;
• and
• memory including instructions, that when executed by the at least one processor, cause the processor to:
• select a waveguide design from among a plurality of waveguide designs, the selected waveguide design comprising at least one region having photonic structures;
• and
• evaluate the at least one region of the selected waveguide design based on output of the neural network, the at least one machine learning algorithm using one or more structural parameters of the at least one region as input to generate output that comprises at least one prediction for the selected waveguide design.