March 11, 2024 article Machine learning-based models to predict aquatic ecological risk for engineered nanoparticles: using hazard concentration for 5% of species as an endpoint Environmental Science and Pollution Research DOI: 10.1007/s11356-024-32723-1 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 16 References 3 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 Review and Prospects on the Ecotoxicity of Mixtures of Nanoparticles and Hybrid Nanomaterials 2022 Environmental Science & Technology article Environmental Science Environmental Toxicology and Ecotoxicology Open access 120 citations Machine learning-driven QSAR models for predicting the mixture toxicity of nanoparticles 2023 Environment International article Materials Science Nanoparticles: synthesis and applications Open access 88 citations Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity 2022 Chemosphere article Environmental Science Environmental Toxicology and Ecotoxicology Open access 31 citations 3 results