Nanophotonics and Machine Learning Concepts, Fundamentals, and Applications /
This book, the first of its kind, bridges the gap between the increasingly interlinked fields of nanophotonics and artificial intelligence (AI). While artificial intelligence techniques, machine learning in particular, have revolutionized many different areas of scientific research, nanophotonics ho...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Putanga: | 1st ed. 2023. |
| Rangatū: | Springer Series in Optical Sciences,
241 |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-20473-9 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- Chapter1. Fundamentals of nanophotonics
- Chapter2. Nanophotonic devices and platforms. - Chapter3. Fundamentals of machine learning
- Chapter4. DL-assisted inverse design in nanophotonics
- Chapter5. DL-enabled applications in nanophotonics
- Chapter6. Nanophotonic and optical platforms for DL.