May 28, 2019 article Open access Physically informed artificial neural networks for atomistic modeling of materials Nature Communications DOI: 10.1038/s41467-019-10343-5 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 335 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 33 Unresolved Questions in Nanoscience and Nanotechnology 2025 ACS Nano article Engineering Nanotechnology research and applications Open access 57 citations Using Machine Learning to Predict Adverse Effects of Metallic Nanomaterials to Various Aquatic Organisms 2023 Environmental Science & Technology article Environmental Science Environmental Toxicology and Ecotoxicology Open access cited by 1 patent 92 citations Machine learning-based structure–property predictions in silica aerogels 2021 Soft Matter article Materials Science Machine Learning in Materials Science 26 citations 3 results References 0