August 21, 2025 article Open access Machine learning-driven prediction of NH2-n-alkane reactions for constructing high-precision ammonia-macromolecule hydrocarbon combustion models Combustion and Flame DOI: 10.1016/j.combustflame.2025.114413 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 4 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 The role of combustion science and technology in low and zero impact energy transformation processes 2021 Applications in Energy and Combustion Science article Engineering Combustion and flame dynamics Open access 87 citations A machine learning method to predict rate constants for various reactions in combustion kinetic models 2024 Combustion and Flame article Chemical Engineering Advanced Combustion Engine Technologies 31 citations 2 results