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Award ID contains: 2118787

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  1. ; ; ; ; ; (, Advanced Optical Materials)
    Abstract This work presents a novel approach to achieve directional and normal thermal emission from epsilon‐near–zero (ENZ) materials. ENZ materials exhibit near–zero permittivity at the ENZ point, resulting in some unique properties compared to conventional optical materials including infinite wavelength, constant phase distribution, and decoupling of spatial and temporal fields inside the ENZ material. These properties are used to engineer the far‐field thermal emission from optical antennas fabricated on ENZ film in the mid‐infrared. By coupling the antenna resonance mode with the Berreman mode of the ENZ material, highly directional and normal emission is demonstrated. This approach could have significant implications for thermal management, energy conversion, and sensing applications. 
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  2. ; ; ; ; ; ; (, Optica Publishing Group)
    We experimentally demonstrate primordial metamaterials - composite media supporting essentially nonlocal wave propagation, grown with molecular beam epitaxy. Our transmission measurements confirm the theoretically predicted spectral signature of coupling to nonlocal modes 
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    Free, publicly-accessible full text available May 1, 2026
  3. ; (, Optica Publishing Group)
    We predict novel electromagnetic regime in nanostructured composite materials, where re-emergence of material nonlocality results in strong interplay with well-studied local effective medium response and opens new avenues for controlling light-matter interactions. 
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    Free, publicly-accessible full text available May 1, 2026
  4. ; ; ; ; ; ; (, Optics Express)
    The inverse design of meta-optics has received much attention in recent years. In this paper, we propose a GPU-friendly inverse design framework based on improved eigendecomposition-free rigorous diffraction interface theory, which offers up to 16.2 × speedup over the traditional inverse design based on rigorous coupled-wave analysis. We further improve the framework’s flexibility by introducing a hybrid parameterization combining neural-implicit and traditional shape optimization. We demonstrate the effectiveness of our framework through intricate tasks, including the inverse design of reconfigurable free-form meta-atoms. 
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  5. (, CLEO 2023, Technical Digest Series (Optica Publishing Group, 2023), paper JTu2A.119.)
    Accepted Manuscript Full Text Available