Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach

Author:

Vo Thanh HungORCID,Rahimi Mohammad,Tangparitkul SuparitORCID,Promsuk Natthanan

Funder

Chiang Mai University

University of Science, Vietnam National University, Hanoi

Publisher

Elsevier BV

Reference70 articles.

1. Algeria's journey towards a green hydrogen future: strategies for renewable energy integration and climate commitments;Boudghene Stambouli;Int J Hydrogen Energy,2024

2. Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity : implications for underground hydrogen storage;Vo Thanh;Int J Hydrogen Energy,2024

3. Recent progress on advanced solid adsorbents for CO2 capture: from mechanism to machine learning;Khosrowshahi;Mater Today Sustain,2024

4. Ocean warming and acidification uncouple calcification from calcifier biomass which accelerates coral reef decline;Dove;Commun Earth Environ,2020

5. Global carbon budget 2023;Friedlingstein;Earth Syst Sci Data,2023

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