Inverse Design

Deep learning enabled inverse design of bound states in the continuum with ultrahigh Q factor
Bound states in the continuum (BIC) can be easily engineered to obtain ultrahigh quality resonances that can greatly enhance sensing and lasing performance, thereby gaining significant attention in the field of nanophoto…
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Inverse design of photonic crystal filters with arbitrary correlation and size for accurate spectrum reconstruction
Spectroscopic technique based on nanophotonic filters can recover spectral information through compressive sensing theory. The spectral information is encoded by nanophotonic response functions and decoded by computation…
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Comparison of Different Neural Network Architectures for Plasmonic Inverse Design
The merge between nanophotonics and a deep neural network has shown unprecedented capability of efficient forward modeling and accurate inverse design if an appropriate network architecture and training method are select…
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Neural network enabled metasurface design for phase manipulation
The phase of electromagnetic waves can be manipulated and tailored by artificial metasurfaces, which can lead to ultra-compact, high-performance metalens, holographic and imaging devices etc. Usually, nanostructured meta…
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A Bidirectional Deep Neural Network for Accurate Silicon Color Design
Abstract Silicon nanostructure color has achieved unprecedented high printing resolution and larger color gamut than sRGB. The exact color is determined by localized magnetic and electric dipole resonance of nanostructur…
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