Publications by authors named "Leipeng Fan"
Article Synopsis
- Researchers are exploring the use of deep learning to improve the design and optimization of resonant metasurfaces, which are key for strong coupling effects.
- Traditional numerical simulations are time-consuming and resource-intensive, prompting the need for more efficient methods.
- A fully connected neural network was developed to accurately predict transmission spectra and other phenomena in perovskite metasurfaces, allowing for faster and more effective design processes compared to conventional methods.
