April 26, 2021 article Open access Predicting Energetics Materials’ Crystalline Density from Chemical Structure by Machine Learning Journal of Chemical Information and Modeling DOI: 10.1021/acs.jcim.0c01318 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 78 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 Sequential EXtreme Gradient Boosting-Based Descriptor Reduction for Size Prediction of Zwitterionic Polymer-Based Nanoparticles 2025 ACS Omega article Materials Science Machine Learning in Materials Science Open access 1 citations 1 result References 0