Add to ORKGWe show that a modified CGAN machine learning method that balances the accuracy of desired optical properties with experimental feasibility can solve the free-form inverse design of nanophotonic matasurfaces
We introduce a novel technique for designing color filter metasurfaces using a data-driven approach ...
We introduce a novel technique for designing color filter metasurfaces using a data-driven approach ...
The demonstration of exotic electromagnetic metasurfaces has benefited from the advance of computati...
We show that the free-form inverse design of nanophotonic matasurfaces can be solved with a modified...
We present our work on using deep neural networks for the prediction of the optical properties of na...
We present our work on using deep neural networks for the prediction of the optical properties of na...
Many phenomena in physics, including light, water waves, and sound, are described by wave equations....
The advent of metasurfaces in recent years has ushered in a revolutionary means to manipulate the be...
Many phenomena in physics, including light, water waves, and sound, are described by wave equations....
Metasurfaces are subwavelength-structured artificial media that can shape and localize electromagnet...
Computational inverse-design and forward perdition approaches provide promising approaches for on-de...
Metasurfaces are composed of a two-dimensional array of carefully engineered subwavelength structure...
Inverse design of a metasurface involves searching parameters in a high‐dimensional space, which nee...
Deep learning has become the dominant approach in artificial intelligence to solve complex data-driv...
A deep learning neural network model in conjunction with a method to incorporate auxiliary surface w...
We introduce a novel technique for designing color filter metasurfaces using a data-driven approach ...
We introduce a novel technique for designing color filter metasurfaces using a data-driven approach ...
The demonstration of exotic electromagnetic metasurfaces has benefited from the advance of computati...
We show that the free-form inverse design of nanophotonic matasurfaces can be solved with a modified...
We present our work on using deep neural networks for the prediction of the optical properties of na...
We present our work on using deep neural networks for the prediction of the optical properties of na...
Many phenomena in physics, including light, water waves, and sound, are described by wave equations....
The advent of metasurfaces in recent years has ushered in a revolutionary means to manipulate the be...
Many phenomena in physics, including light, water waves, and sound, are described by wave equations....
Metasurfaces are subwavelength-structured artificial media that can shape and localize electromagnet...
Computational inverse-design and forward perdition approaches provide promising approaches for on-de...
Metasurfaces are composed of a two-dimensional array of carefully engineered subwavelength structure...
Inverse design of a metasurface involves searching parameters in a high‐dimensional space, which nee...
Deep learning has become the dominant approach in artificial intelligence to solve complex data-driv...
A deep learning neural network model in conjunction with a method to incorporate auxiliary surface w...
We introduce a novel technique for designing color filter metasurfaces using a data-driven approach ...
We introduce a novel technique for designing color filter metasurfaces using a data-driven approach ...
The demonstration of exotic electromagnetic metasurfaces has benefited from the advance of computati...