Mapping the application research on machine learning in the field of ionic liquids: A bibliometric analysis

Wei, Ze; Chen, Fei; Liu, Hui; Huang, Rui; Pan, Kai; Ji, Wenjing; Wang, Jianhai

doi:10.1016/j.fluid.2024.114117

Fluid Phase Equilibria

2024

DOI: 10.1016/j.fluid.2024.114117

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Mapping the application research on machine learning in the field of ionic liquids: A bibliometric analysis

Ze Wei,

Fei Chen,

Hui Liu

et al.

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2024

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Cited by 3 publications

References 121 publications

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Exploring hydrogen storage safety research by bibliometric analysis

Zhu,

Liu,

Kong

et al. 2024

International Journal of Hydrogen Energy

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Exploring hydrogen storage safety research by bibliometric analysis

Zhu,

Liu,

Kong

et al. 2024

International Journal of Hydrogen Energy

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Insights into Application Research of the Density Functional Theory in Iron Sulfur Compounds: A Bibliometric Mapping Analysis

Mu,

Wang,

et al. 2024

ACS Omega

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To more accurately grasp the current status and trends in the density functional theory (DFT) study of iron sulfur compounds, this paper presents a bibliometric analysis of 821 documents from 2000 to 2023. The literature source is the Web of Science (WOS) core data set. The results show that China is the country with the highest publication volume (247, 30.09%). The highest number of total citations is for the USA (8360). The field primarily involves the three disciplinary categories of Chemistry Physical (322, 39.22%), Chemistry Multidisciplinary (194, 23.62%), and Materials Science Multidisciplinary (177, 21.55%). There is an increasing trend in publications and total citations per year. Quantum chemical analysis, chemical structure analysis of crystal surfaces of iron sulfur compounds, and the effect mechanism of iron−sulfur clusters on enzyme-catalyzed reactions are the knowledge base in the field. The current research hotspots are mainly in four areas: DFT calculations of iron sulfur compounds properties, the redox properties of iron−sulfur clusters, the calculation of iron sulfur compounds electronic structures, and the research on the surface adsorption mechanism of iron sulfur compounds. The number of occurrences of the keyword FeS 2 has increased significantly over time, followed by the variation of "adsorption" and "pyrite," which are also more apparent. Oxidative adsorption behavior studies of iron sulfide compounds on environmental water and oxygen are the research frontier. This study can help readers to quickly understand this field's research status and development trend and provide a guideline for research in the future.

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Computational Advances in Ionic Liquid Applications for Green Chemistry: A Critical Review of Lignin Processing and Machine Learning Approaches

Taylor,

Kumar,

Mishra

et al. 2024

Molecules

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The valorization and dissolution of lignin using ionic liquids (ILs) is critical for developing sustainable biorefineries and a circular bioeconomy. This review aims to critically assess the current state of computational and machine learning methods for understanding and optimizing IL-based lignin dissolution and valorization processes reported since 2022. The paper examines various computational approaches, from quantum chemistry to machine learning, highlighting their strengths, limitations, and recent advances in predicting and optimizing lignin-IL interactions. Key themes include the challenges in accurately modeling lignin’s complex structure, the development of efficient screening methodologies for ionic liquids to enhance lignin dissolution and valorization processes, and the integration of machine learning with quantum calculations. These computational advances will drive progress in IL-based lignin valorization by providing deeper molecular-level insights and facilitating the rapid screening of novel IL-lignin systems.

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Mapping the application research on machine learning in the field of ionic liquids: A bibliometric analysis

Cited by 3 publications

References 121 publications

Exploring hydrogen storage safety research by bibliometric analysis

Exploring hydrogen storage safety research by bibliometric analysis

Insights into Application Research of the Density Functional Theory in Iron Sulfur Compounds: A Bibliometric Mapping Analysis

Computational Advances in Ionic Liquid Applications for Green Chemistry: A Critical Review of Lignin Processing and Machine Learning Approaches

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