August 07, 2023 preprint Open access Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Research Square DOI: 10.21203/rs.3.rs-3093828/v1 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 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 Exploring the fuel structure dependence of laminar burning velocity: A machine learning based group contribution approach 2021 Combustion and Flame article Chemical Engineering Advanced Combustion Engine Technologies 62 citations Using machine learning with target-specific feature sets for structure-property relationship modeling of octane numbers and octane sensitivity 2020 Fuel article Chemical Engineering Advanced Combustion Engine Technologies 60 citations 2 results