Classification of biomass reactions and predictions of reaction energies through machine learning
Author:
Affiliation:
1. School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
Funder
Renewable Bioproducts Institute
Publisher
AIP Publishing
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0014828
Reference56 articles.
1. T. Werpy, G. Petersen, A. Aden, J. Bozell, J. Holladay, J. White, A. Manheim, D. Eliot, L. Lasure, and S. Jones, “Top value added chemicals from biomass. Volume I–results of screening for potential candidates from sugars and synthesis gas,” Technical Report No. DOE/GO-102004-1992, Department of Energy, Washington, DC, 2004.
2. Technology development for the production of biobased products from biorefinery carbohydrates—the US Department of Energy’s “Top 10” revisited
3. Synergistic Pt/MgO/SBA-15 nanocatalysts for glycerol oxidation in base-free medium: Catalyst design and mechanistic study
4. Photoinduced Glycerol Oxidation over Plasmonic Au and AuM (M = Pt, Pd and Bi) Nanoparticle-Decorated TiO2 Photocatalysts
5. Pd, Pt, and Pt–Cu Catalysts Supported on Carbon Nanotube (CNT) for the Selective Oxidation of Glycerol in Alkaline and Base-Free Conditions
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