April 21, 2020 article Open access A machine learning framework for drop-in volume swell characteristics of sustainable aviation fuel Fuel DOI: 10.1016/j.fuel.2020.117832 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 95 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 Enhancing Predictive Accuracy Under Data Scarcity: Modeling Molecular Interactions to Describe Sealing Material Compatibility with Bio-Hybrid Fuels 2025 Physchem article Materials Science Machine Learning in Materials Science Open access 0 citations DESIGN and be SMART: Eleven engineering challenges to achieve sustainable air transportation under safety assurance in the year 2050 2024 Journal of the Air Transport Research Society article Environmental Science Advanced Aircraft Design and Technologies Open access 38 citations 2 results References 0