Unconventional growth of methane hydrates: A molecular dynamics and machine learning study
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DOI: 10.1016/j.energy.2023.128337
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References listed on IDEAS
- Liu, Xiaolei & Lin, Zi & Feng, Ziming, 2021. "Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM," Energy, Elsevier, vol. 227(C).
- Wang, Xiao-Hui & Sun, Yi-Fei & Wang, Yun-Fei & Li, Nan & Sun, Chang-Yu & Chen, Guang-Jin & Liu, Bei & Yang, Lan-Ying, 2017. "Gas production from hydrates by CH4-CO2/H2 replacement," Applied Energy, Elsevier, vol. 188(C), pages 305-314.
- E. Dendy Sloan, 2003. "Fundamental principles and applications of natural gas hydrates," Nature, Nature, vol. 426(6964), pages 353-359, November.
- Shahid, Farah & Zameer, Aneela & Muneeb, Muhammad, 2021. "A novel genetic LSTM model for wind power forecast," Energy, Elsevier, vol. 223(C).
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Cited by:
- Liang, Yunhang & Bi, Xueqing & Zhao, Yunlong & Tian, Runnan & Zhao, Peihe & Fang, Wenjing & Liu, Bing, 2024. "Rapid decomposition of methane hydrates induced by terahertz bidirectional pulse electric fields," Energy, Elsevier, vol. 286(C).
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Keywords
Methane hydrates; Straining; Unconventional growth; Molecular dynamics; Machine learning;All these keywords.
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