32 citations · 33 across the 4 of their papers we have counts for
4 papers
Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models
Dongjin Seo, Soobin Um, Sangbin Lee +2
Designing free-form photonic devices is fundamentally challenging due to the vast number of possible geometries and the complex requirements of fabrication constraints. Traditional…
Generalizing Deep Surrogate Solvers for Broadband Electromagnetic Field Prediction at Unseen Wavelengths
Joonhyuk Seo, Chanik Kang, Dongjin Seo +1
Recently, electromagnetic surrogate solvers, trained on solutions of Maxwell's equations under specific simulation conditions, enabled fast inference of computationally expensive s…
A3SA: Advanced Data Augmentation via Adjoint Sensitivity Analysis
Chanik Kang, Dongjin Seo, Svetlana V Boriskina +1
Innovative machine learning techniques have facilitated the inverse design of photonic structures for numerous practical applications. Nevertheless, within these approaches, the qu…
Physics-informed reinforcement learning for sample-efficient optimization of freeform nanophotonic devices
Chaejin Park, Sanmun Kim, Anthony W. Jung +6
In the field of optics, precise control of light with arbitrary spatial resolution has long been a sought-after goal. Freeform nanophotonic devices are critical building blocks for…