Recent advancements in computational inverse-design approaches—algorithmic
techniques for discovering optical structures based on desired functional characteristics …

Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …

Recently, integrated optics has gained interest as a hardware platform for implementing
machine learning algorithms. Of particular interest are artificial neural networks, since matrix …

Nanophotonics has been an active research field over the past two decades, triggered by
the rising interests in exploring new physics and technologies with light at the nanoscale. As …

We review the space-mapping (SM) technique and the SM-based surrogate (modeling)
concept and their applications in engineering design optimization. For the first time, we …

Metasurfaces are an emerging technology that may supplant many of the conventional
optics found in imaging devices, displays, and precision scientific instruments. Here, we …

This book addresses computationally-efficient multi-objective optimization of antenna
structures using variable-fidelity electromagnetic simulations, surrogate modeling …

Flying wing layout has both favorable aerodynamic performance and outstanding radar
scattering characteristics, which is regarded as an ideal stealth aircraft layout. In this paper …

There is a revival of the interest in adjoint sensitivity analysis techniques. This is partly
because current computer-aided-design software based on full-wave electromagnetic (EM) …

We present a new method for sensitivity analysis of photonic crystal devices. The algorithm
is based on a finite-difference frequency-domain model and uses the adjoint variable …