Abstract
We use artificial intelligence techniques such as the genetic algorithm and convolutional neural networks for optimization and prediction of absorption spectra of plasmonic metasurfaces for enhancing hot-electron generation. The predictions of our algorithms agree well to experimental results.
| Original language | English |
|---|---|
| Title of host publication | 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings |
| State | Published - May 1 2021 |
| Externally published | Yes |
Fingerprint
Dive into the research topics of 'Artificial Intelligence Assisted Optimization and Prediction of Absorption of Metasurfaces for Hot-Electron Generation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver