Artigo De: orcid
Automation of Data-Driven Rate Equation Screening for Heterogeneously Catalyzed Reactions
Industrial & Engineering Chemistry Research
2022 — ACS Publications
—Informações chave
Autores:
Publicado em
09/09/2022
Resumo
Automating the generation of suitable kinetic models could dramatically improve its application to novel reactions. Therefore, a software tool was developed to automatically propose rate equations for a catalytic reaction, purely based on experimental data. The tool screens initial rate equations (from a comprehensive, theoretical, physically meaningful library) by comparing their predicted trends with those present in the experimental data, thereby eliminating the rate equations that cannot reproduce the trends in the data. Afterward, the feasible rate equations are ranked based on trend similarity, resulting in an ordered list of rate equations ready for regression. For most of the tested literature datasets, the tool proposed the same rate equation as experienced researchers. This is a key first step into the automation of kinetic modeling that, once generalized, will allow its widespread use in the understanding of catalytic reactions.
Detalhes da publicação
Autores da comunidade :
Vasco António Correia Saltão
ist425796
Pedro Simão Freitas Mendes
ist163499
Versão da publicação
NA - Versão desconhecida
Editora
ACS Publications
Ligação para a versão da editora
https://pubs.acs.org/doi/10.1021/acs.iecr.2c01920
Título do contentor da publicação
Industrial & Engineering Chemistry Research
Primeira página ou número de artigo
13841
Última página
13853
Volume
61
Fascículo
37
ISSN
0888-5885
GovDoc
Domínio Científico (FOS)
chemical-sciences - Química
Palavras-chave
- Heterogeneous Catalysis
- Chemical Engineering
Idioma da publicação (código ISO)
eng - Inglês
Identificador alternativo (URI)
https://doi.org/10.1021/acs.iecr.2c01920
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Acesso apenas a metadados