Using Artificial Neural Networks to Estimate Xylose Conversion and Furfural Yield for Autocatalytic Dehydration Reactions-Reference-Cited by-同舟云学术

Using Artificial Neural Networks to Estimate Xylose Conversion and Furfural Yield for Autocatalytic Dehydration Reactions

Published:2021-12-23 Issue:1 Volume:10 Page:177-181
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Job Adam L.¹,Stratton Sarah M.¹,Umhey Charles E.¹,Hoo Karlene A.²,Wettstein Stephanie G.¹^ORCID

Affiliation:

1. Department of Chemical and Biological Engineering, Montana State University, Bozeman, Montana 59715, United States

2. School of Engineering and Applied Science, Gonzaga University, Spokane, Washington 99258, United States

Funder

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Publisher

American Chemical Society (ACS)

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.1c05413

Reference21 articles.

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3. Furfural-A Promising Platform for Lignocellulosic Biofuels

4. Zeitsch, K. J. The chemistry and technology of furfural and its many by-products, 1st ed. Elsevier: Amsterdam, 2000; Vol. 13, pp 34–69.

5. Conversion of Sugars and Biomass to Furans Using Heterogeneous Catalysts in Biphasic Solvent Systems

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