Bio-inspired gas sensing: boosting performance with sensor optimization guided by “machine learning”
Abstract
We analyze the capabilities of natural and fabricated photonic three-dimensional nanostructures as sensors for the detection of different gaseous species.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2020
- Source ID
- 10.1039/d0fd00035c
Entities
People
- Andrei Kolmakov
- Bing Cheng
- J. Brewer
- M. A. Carpenter
- N. Houlihan
- Radislav Potyrailo
Organizations
- Defense Advanced Research Projects Agency
- GE Global Research
- National Energy Technology Laboratory
- National Institute of Standards and Technology
- SUNY Polytechnic Institute
- United States Army