January 01, 2024 preprint Open access Developing Machine Learning Algorithms to Predict the Dissolution of Zinc Oxide Nanoparticles in Aqueous Environment SSRN Electronic Journal DOI: 10.2139/ssrn.4868420 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 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 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 Developing and verifying a quantitative dissolution model for metal-bearing nanoparticles in aqueous media 2023 Environmental Science Nano article Materials Science Nanoparticles: synthesis and applications Open access 7 citations 2 results