July 24, 2026 article A hybrid machine learning–group contribution framework for accurate prediction of non-polar gas solubility in ionic liquids Fuel DOI: 10.1016/j.fuel.2026.140760 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Computer-aided molecular and processes design based on quantum chemistry: current status and future prospects 2020 Current Opinion in Chemical Engineering review Physics and Astronomy Advanced Chemical Physics Studies Open access 76 citations 1 result