标题
Plasmonic colours predicted by deep learning
作者
关键词
-
出版物
Scientific Reports
Volume 9, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-05-30
DOI
10.1038/s41598-019-44522-7
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials
- (2018) Wei Ma et al. ACS Nano
- Passivation of Plasmonic Colors on Bulk Silver by Atomic Layer Deposition of Aluminum Oxide
- (2018) Jean-Michel Guay et al. LANGMUIR
- Topography Tuning for Plasmonic Color Enhancement via Picosecond Laser Bursts
- (2018) Jean-Michel Guay et al. Advanced Optical Materials
- Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
- (2018) Dianjing Liu et al. ACS Photonics
- Nanophotonic particle simulation and inverse design using artificial neural networks
- (2018) John Peurifoy et al. Science Advances
- Generative Model for the Inverse Design of Metasurfaces
- (2018) Zhaocheng Liu et al. NANO LETTERS
- Plasmonic nanostructure design and characterization via Deep Learning
- (2018) Itzik Malkiel et al. Light-Science & Applications
- Inverse design in nanophotonics
- (2018) Sean Molesky et al. Nature Photonics
- Laser-induced plasmonic colours on metals
- (2017) Jean-Michel Guay et al. Nature Communications
- Deep learning microscopy
- (2017) Yair Rivenson et al. Optica
- Neural Network for Nanoscience Scanning Electron Microscope Image Recognition
- (2017) Mohammad Hadi Modarres et al. Scientific Reports
- Deep learning
- (2015) Yann LeCun et al. NATURE
- On the convergence and accuracy of the FDTD method for nanoplasmonics
- (2015) Antonino Calà Lesina et al. OPTICS EXPRESS
- A Unified FDTD/PML Scheme Based on Critical Points for Accurate Studies of Plasmonic Structures
- (2013) K. P. Prokopidis et al. JOURNAL OF LIGHTWAVE TECHNOLOGY
- A new model of dispersion for metals leading to a more accurate modeling of plasmonic structures using the FDTD method
- (2011) A. Vial et al. APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
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