October 19, 2025 article Open access Iterative experimental design for model uncertainty quantification with a novel likelihood function incorporating error dependence on condition parameters Applications in Energy and Combustion Science DOI: 10.1016/j.jaecs.2025.100413 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 4 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 Ammonia and ammonia/hydrogen combustion: Comprehensive quantitative assessment of kinetic models and examination of critical parameters 2024 Combustion and Flame article Chemical Engineering Advanced Combustion Engine Technologies Open access 98 citations Iterative model-based experimental design for efficient uncertainty minimization of chemical mechanisms 2020 Proceedings of the Combustion Institute article Chemical Engineering Advanced Combustion Engine Technologies 22 citations High-efficiency design of combustion kinetic experiments based on genetic algorithm 2022 Proceedings of the Combustion Institute article Chemical Engineering Advanced Combustion Engine Technologies 8 citations Mechanism optimization with a novel objective function: Surface matching with joint dependence on physical condition parameters 2024 Proceedings of the Combustion Institute article Chemical Engineering Advanced Combustion Engine Technologies 2 citations 4 results