We merge topology optimization with artificial-intelligence-assisted algorithms and integrate machine-learning based analysis with photonic design and quantum optical measurements. By implementing deep-learning assisted topology optimization we advance metasurface design for energy applications. We also apply neural network-based technique for real-time quantum measurements.
This talk will address the potential for leveraging such large crystal anisotropy for realizing reconfigurable planar metasurfaces, flat and compact IR components and actively tunable and modulated IR optics.