Article-Journal

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…
PDF 引用 DOI
All dissolvable and transient plasmonic device enabled by nanoimprint lithography
Abstract Dissolvable and transient devices are important for environment-friendly disposal and information security. Similar to transient electronic devices, photonic devices use dissolvable metals such as magnesium and …
PDF 引用 DOI
Large-area silicon photonic crystal supporting bound states in the continuum and optical sensing formed by nanoimprint lithography
Optical bound states in the continuum (BIC) are found in various dielectric, plasmonic and hybrid photonic systems. The localized BIC modes and quasi-BIC resonances can result in a large near-field enhancement and a high…
PDF 引用 DOI
Plasmonic nanostructure characterized by deep-neural-network-assisted spectroscopy [Invited]
The lateral geometry and material property of plasmonic nanostructures are critical parameters for tailoring their optical resonance for sensing applications. While lateral geometry can be easily observed by a scanning e…
PDF 引用 DOI
Tuning Metasurface Dimensions by Soft Nanoimprint Lithography and Reactive Ion Etching
Metasurfaces are ultrathin and flat layers of subwavelength nanostructures composed of metallic or high-refractive-index materials. They can alter lightwave properties effectively and show significant application potenti…
PDF 引用 DOI
Computational spectrometers enabled by nanophotonics and deep learning
Abstract A new type of spectrometer that heavily relies on computational technique to recover spectral information is introduced. They are different from conventional optical spectrometers in many important aspects. Trad…
PDF 引用 DOI
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…
PDF 引用 DOI
Deep neural network for designing near- and far-field properties in plasmonic antennas
The electromagnetic response of plasmonic nanostructures is highly sensitive to their geometric parameters. In multi-dimensional parameter space, conventional full-wave simulation and numerical optimization can consume s…
PDF 引用 DOI
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…
PDF 引用 DOI
Graphene Hybrid Structures for Integrated and Flexible Optoelectronics
Abstract Graphene (Gr) has many unique properties including gapless band structure, ultrafast carrier dynamics, high carrier mobility, and flexibility, making it appealing for ultrafast, broadband, and flexible optoelect…
PDF 引用 DOI