Application of Machine Learning and Laser-Induced Breakdown Spectroscopy to Flame Spray Pyrolysis for the Prediction of Catalyst Properties
Author:
Affiliation:
1. Department of Chemical and Biomolecular Engineering, University of California, Irvine, California 92697, United States
Funder
Small Business Innovative Research and Small Business Technology Transfer
Publisher
American Chemical Society (ACS)
Subject
Materials Chemistry,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.2c03119
Reference63 articles.
1. Flame spray pyrolysis: An enabling technology for nanoparticles design and fabrication
2. Controlled synthesis of nanostructured particles by flame spray pyrolysis
3. Nanoparticle synthesis at high production rates by flame spray pyrolysis
4. Growth of zirconia particles made by flame spray pyrolysis
5. Process control for the synthesis of ZrO2 nanoparticles using FSP at high production rate
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