Sulfur oxidative coupling of methane process development and its modeling via machine learning-Reference-Cited by-同舟云学术

Sulfur oxidative coupling of methane process development and its modeling via machine learning

Published:2022-06-17 Issue:9 Volume:68 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE Journal

Author:

Scabbia Giovanni¹^ORCID,Abotaleb Ahmed¹^ORCID,Sinopoli Alessandro¹^ORCID

Affiliation:

1. Qatar Environment and Energy Research Institute (QEERI), Hamad Bin Khalifa University (HBKU), Qatar Foundation Doha Qatar

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17793

Reference37 articles.

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2. Reaction of methane and sulfur: Oxidative coupling and carbon disulfide formation

3. Platinum Metal-Free Catalysts for Selective Soft Oxidative Methane → Ethylene Coupling. Scope and Mechanistic Observations

4. Enhancing gas loading and reducing energy consumption in acid gas removal systems: A simulation study based on real NGL plant data

5. AmhamedAI AbotalebAMG.Acid gas removal system for removing acidic gases from gaseous hydrocarbons.2020.https://patents.google.com/patent/WO2019010344A2/en

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