Interrogating Gas-Borne Nanoparticles Using Laser-Based Diagnostics and Bayesian Data Fusion-Reference-Cited by-同舟云学术

Interrogating Gas-Borne Nanoparticles Using Laser-Based Diagnostics and Bayesian Data Fusion

Published:2021-04-08 Issue:15 Volume:125 Page:8382-8390
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Menser Jan¹^ORCID,Daun Kyle²,Schulz Christof¹^ORCID

Affiliation:

1. Institute for Combustion and Gas Dynamics (IVG) and Center for Nanointegration Duisburg Essen (CENIDE), University of Duisburg-Essen, 47057 Duisburg, Germany

2. Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.0c10026

Reference28 articles.

1. Laser-induced incandescence from laser-heated silicon nanoparticles

2. Laser-induced incandescence: Particulate diagnostics for combustion, atmospheric, and industrial applications

3. Laser-induced atomic emission of silicon nanoparticles during laser-induced heating

4. Novel low-intensity phase-selective laser-induced breakdown spectroscopy of TiO2 nanoparticle aerosols during flame synthesis

5. Absorption-Ablation-Excitation Mechanism of Laser-Cluster Interactions in a Nanoaerosol System

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