The performance of metasurfaces measured experimentally often discords with expected values from numerical optimization. These discrepancies are attributed to the poor tolerance metasurface building blocks respect fabrication uncertainties and nanoscale imperfections. Quantifying their efficiency drop according geometry variation crucial improve range application this technology. Here, we prese...

This paper considers data-driven chance-constrained stochastic optimization problems in a Bayesian framework. posteriors afford principled mechanism to incorporate data and prior knowledge into problems. However, the computation of is typically an intractable problem, has spawned large literature on approximate computation. Here, context optimization, we focus question statistical consistency (...