Machine learning-enhanced optimal catalyst selection for water-gas shift reaction-Reference-Cited by-同舟云学术

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Machine learning-enhanced optimal catalyst selection for water-gas shift reaction

Published:2024-09 Issue: Volume:12 Page:100165
ISSN:2772-5081
Container-title:Digital Chemical Engineering
language:en
Short-container-title:Digital Chemical Engineering

Author:

Golder Rahul^ORCID,Pal Shraman,C. Sathish Kumar^ORCID,Ray Koustuv^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. Origin of the unique activity of Pt/TiO2 catalysts for the water–gas shift reaction;Ammal;J. Catal.,2013

2. Predicting the activity and selectivity of bimetallic metal catalysts for ethanol reforming using machine learning;Artrith;ACS Catal.,2020

3. R2: a useful measure of model performance when predicting a dichotomous outcome;Ash;Statist. Med.,1999

4. Carbon dioxide reforming of methane over Ni-based catalysts: Modeling the effect of process parameters on greenhouse gasses conversion using supervised machine learning algorithms;Ayodele;Chem. Eng. Process.,2021

5. Support vector machines for predictive modeling in heterogeneous catalysis: a comprehensive introduction and overfitting investigation based on two real applications;Baumes;J. Comb. Chem.,2006

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