A universal microkinetic-machine learning bimetallic catalyst screening method for steam methane reforming
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Publisher
Elsevier BV
Subject
Filtration and Separation,Analytical Chemistry
Reference37 articles.
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2. Energy, environment, and economic analyses on a novel hydrogen production method by electrified steam methane reforming with renewable energy accommodation;Song;Energ. Conver. Manage.,2022
3. Study on the reaction pathways of steam methane reforming for H2 production;Cai;Energy,2020
4. Techno-economic assessment of optimised vacuum swing adsorption for post-combustion CO2 capture from steam-methane reformer flue gas;Subraveti;Sep. Purif. Technol.,2021
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3. Enhancing a Deep Learning Model for the Steam Reforming Process Using Data Augmentation Techniques;Energies;2024-05-17
4. Ni-based bimetallic catalysts for hydrogen production via (sorption-enhanced) steam methane reforming;Chemical Engineering Journal;2024-04
5. High-Throughput Screening of Sulfur-Resistant Catalysts for Steam Methane Reforming Using Machine Learning and Microkinetic Modeling;ACS Omega;2024-02-28
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