5 papers
A Differentiable Ray-Wave Framework for Hybrid Refractive-Diffractive System Modeling and Optimization
Jiazhou Cheng, Margaret Gao, Yixuan Shao +3
Hybrid optical systems combining refractive and diffractive optical responses have the potential to support new types of optical behavior, but they are difficult to model and optim…
Accurate and scalable deep Maxwell solvers using multilevel iterative methods
Chenkai Mao, Jonathan A. Fan
Neural networks have promise as surrogate partial differential equation (PDE) solvers, but it remains a challenge to use these concepts to solve problems with high accuracy and sca…
Near-field optical mode engineering-enabled freeform nonlocal metasurfaces
Zhongjun Jiang, Tianxiang Dai, Shuwei Guo +6
Nanophotonic technologies inherently rely on tailoring light-matter interactions through the excitation and interference of deeply confined optical resonances. However, existing co…
Shaping freeform nanophotonic devices with geometric neural parameterization
Tianxiang Dai, Yixuan Shao, Chenkai Mao +4
Nanophotonic freeform design has the potential to push the performance of optical components to new limits, but there remains a challenge to effectively perform optimization while…
A multi-agentic framework for real-time, autonomous freeform metasurface design
Robert Lupoiu, Yixuan Shao, Tianxiang Dai +3
Innovation in nanophotonics currently relies on human experts who synergize specialized knowledge in photonics and coding with simulation and optimization algorithms, entailing des…