Machine-Learning Identification of the Sensing Descriptors Relevant in Molecular Interactions with Metal Nanoparticle-Decorated Nanotube Field-Effect Transistors-Reference-Cited by-同舟云学术

Machine-Learning Identification of the Sensing Descriptors Relevant in Molecular Interactions with Metal Nanoparticle-Decorated Nanotube Field-Effect Transistors

Published:2018-12-14 Issue:1 Volume:11 Page:1219-1227
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Bian Long¹,Sorescu Dan C.²,Chen Lucy¹,White David L.¹,Burkert Seth C.¹,Khalifa Yassin,Zhang Zhenwei,Sejdic Ervin,Star Alexander¹^ORCID

Affiliation:

1. Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States

2. United States Department of Energy, National Energy Technology Laboratory, Pittsburgh, Pennsylvania 15236, United States

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.8b15785

Reference56 articles.

1. Array sensing using optical methods for detection of chemical and biological hazards

2. Optical sensor arrays for chemical sensing: the optoelectronic nose

3. Cross-Reactive Chemical Sensor Arrays

4. Differentiation and Identification of Cachaça Wood Extracts Using Peptide-Based Receptors and Multivariate Data Analysis

5. Quantum Dot and Polymer Composite Cross-Reactive Array for Chemical Vapor Detection

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