November 05, 2020 article Open access Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies Chemical Science DOI: 10.1039/d0sc04896h Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 201 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 Federated learning from molecules to processes: A perspective 2026 Process Safety and Environmental Protection article Computer Science Privacy-Preserving Technologies in Data Open access 0 citations Empowering Reactivity Predictions through Noise-Based Data Augmentation 2025 Journal of the American Chemical Society article Materials Science Machine Learning in Materials Science 15 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 A Photochemical Strategy for the Conversion of Nitroarenes into Rigidified Pyrrolidine Analogues 2023 Journal of the American Chemical Society article Chemistry Chemical Reactions and Mechanisms 60 citations 4 results References 0