Water-soluble organic former selection for methane hydrates by supervised machine learning-Reference-Cited by-同舟云学术

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Water-soluble organic former selection for methane hydrates by supervised machine learning

Published:2023-12 Issue: Volume:9 Page:2935-2946
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Pornaroontham Phuwadej^ORCID,Kim Kyusung^ORCID,Kulprathipanja Santi,Rangsunvigit Pramoch^ORCID

Publisher

Elsevier BV

Subject

General Energy

Reference54 articles.

1. Thermodynamic features-driven machine learning-based predictions of clathrate hydrate equilibria in the presence of electrolytes;Acharya;Fluid Phase Equilib.,2021

2. Perspective: Materials informatics and big data: Realization of the fourth paradigm of science in materials science;Agrawal;APL Mater.,2016

3. A molecular dynamics study of ethanol-water hydrogen bonding in binary structure I clathrate hydrate with CO2;Alavi;J. Chem. Phys.,2011

4. Linking microscopic guest properties to macroscopic observables in clathrate hydrates: guest-host hydrogen bonding;Alavi;J. Chem. Phys.,2009

5. Binary ethanol-methane clathrate hydrate formation in the system CH4-C2H5OH-H2O: Phase equilibria and compositional analyses;Anderson;J. Phys. Chem. C,2009

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3. Predictive big data analytics for drilling downhole problems: A review;Energy Reports;2023-12

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