February 15, 2018 article Predicting reaction performance in C–N cross-coupling using machine learning Science DOI: 10.1126/science.aar5169 OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 1,150 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 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 Development of a machine‐learning model to identify the impacts of pesticides characteristics on soil microbial communities from high‐throughput sequencing data 2022 Environmental Microbiology article Environmental Science Pesticide and Herbicide Environmental Studies Open access 25 citations Machine learning predicts ecological risks of nanoparticles to soil microbial communities 2022 Environmental Pollution article Materials Science Nanoparticles: synthesis and applications Open access 35 citations Accelerated dinuclear palladium catalyst identification through unsupervised machine learning 2021 Science article Materials Science Machine Learning in Materials Science 176 citations Established and Emerging Computational Tools to Study Homogeneous Catalysis—From Quantum Mechanics to Machine Learning 2020 Chem article Chemistry Organometallic Complex Synthesis and Catalysis Open access 77 citations 5 results References 0