研究论文
Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach
Hung Vo Thanh, Mohammad Rahimi, Suparit Tangparitkul, Natthanan Promsuk
Van Lang University McMaster University Chiang Mai University
来源International Journal of Hydrogen Energy
年份2024
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学术脉络
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材料 / 化学Machine Learning in Materials Science
Phase Equilibria and Thermodynamics · Hydrogen Storage and Materials
参考文献 71
Classification and Regression by randomForest
被引 18,589Andy I. Liaw, Matthew C. Wiener · 2007
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
被引 20,489Yoav Freund, Robert E. Schapire · Journal of Computer and System Sciences · 1997
Theoretical Thermodynamics for Large Molecules: Walking the Thin Line between Accuracy and Computational Cost
被引 351Tobias Schwabe, Stefan Grimme · Accounts of Chemical Research · 2008
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Technical challenges and opportunities of hydrogen storage: A comprehensive review on different types of underground storage
被引 42Guangyao Leng, Wei Yan, Zhangxin Chen · Journal of Energy Storage · 2025
Data-driven explainable machine learning approaches for predicting hydrogen adsorption in porous crystalline materials
被引 24Hung Vo Thanh, Zhenxue Dai, Mohammad Rahimi · Journal of Alloys and Compounds · 2025
Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state
被引 20Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz · Results in Engineering · 2025
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