Machine Learning and Natural Language Processing Enable a Data-Oriented Experimental Design Approach for Producing Biochar and Hydrochar from Biomass-Reference-Cited by-同舟云学术

Machine Learning and Natural Language Processing Enable a Data-Oriented Experimental Design Approach for Producing Biochar and Hydrochar from Biomass

Published:2022-01-15 Issue:3 Volume:34 Page:979-990
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Paula Amauri J.¹²,Ferreira Odair Pastor³,Souza Filho Antonio G.⁴^ORCID,Filho Francisco Nepomuceno⁴,Andrade Carlos E.⁵^ORCID,Faria Andreia F.⁶^ORCID

Affiliation:

1. Ilum School of Science, Centro Nacional de Pesquisa em Energia e Materiais − CNPEM, Campinas, São Paulo 13087-548, Brazil

2. Solid-Biological Interface Group (SolBIN), Department of Physics, Universidade Federal do Ceará − UFC, P.O. Box 6030, Fortaleza, Ceará 60455-900, Brazil

3. Laboratório de Materiais Funcionais Avanȩados (LAMFA), Department of Physics, Universidade Federal do Ceará − UFC, Fortaleza, Ceará 60455-900, Brazil

4. Department of Physics, Universidade Federal do Ceará − UFC, Fortaleza, Ceará 60455-900, Brazil

5. AT&T Labs Research, 200 South Laurel Avenue, Middletown, New Jersey 07748, United States

6. Engineering School of Sustainable Infrastructure & Environment, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida 32611-6540, United States

Funder

Funda??o Cearense de Apoio ao Desenvolvimento Cient?fico e Tecnol?gico

Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.1c02961

Reference65 articles.

1. Chemicals from Biomass

2. Fates of Chemical Elements in Biomass during Its Pyrolysis