Work

Study on the Adsorption Performance of Ionic Liquids Based on Molecular Dynamics and Interpretable Machine Learning

Year: 2025

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.5c01402

Authors: Fengqi Fan, Hai Yu, Yunqi Huang, Xiaogang Li, Xisheng Fu

Institutions: State Key Laboratory of Tribology, China National Petroleum Corporation (China), Tsinghua University

Language: English

Topic: Lubricants and Their Additives

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: China National Petroleum Corporation

OpenAlex ID: W4415757304

FWCI: 1.196

Cites: 16

Cited by: 4

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