5 papers
Bayesian Optimization for Function-Valued Responses under Min-Max Criteria
Pouya Ahadi, Reza Marzban, Ali Adibi +1
Bayesian optimization is widely used for optimizing expensive black box functions, but most existing approaches focus on scalar responses. In many scientific and engineering settin…
GiBS: Generative Input-side Basis-driven Structures
Reza Marzban, Ashkan Zandi, Ali Adibi
Designing large-scale metasurfaces with nonlocal optical effects remains challenging due to the immense dimensionality and fabrication constraints of conventional optimization meth…
Planar Scale Invariant Waveguides and Resonators with Uniform Air Confined Modes
Mohammad Enjavi, Amin Khavasi, Ashkan Zandi +4
We demonstrate a planar metamaterial based resonator and waveguide with strong light confinement in air based on a silicon-on-insulator (SOI) platform that exhibits scale invarianc…
Inverse Design in Nanophotonics via Representation Learning
Reza Marzban, Ali Adibi, Raphael Pestourie
Inverse design in nanophotonics, the computational discovery of structures achieving targeted electromagnetic (EM) responses, has become a key tool for recent optical advances. Tra…
HiLAB: A Hybrid Inverse-Design Framework
Reza Marzban, Hamed Abiri, Raphael Pestourie +1
HiLAB (Hybrid inverse-design with Latent-space learning, Adjoint-based partial optimizations, and Bayesian optimization) is a new paradigm for inverse design of nanophotonic struct…