February 06, 2024 article An end-to-end explainable graph neural networks-based composition to mechanical properties prediction framework for bulk metallic glasses Mechanics of Materials DOI: 10.1016/j.mechmat.2024.104945 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 6 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 Graph Neural Networks for Prediction of Fuel Ignition Quality 2020 Energy & Fuels article Materials Science Machine Learning in Materials Science 142 citations Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids 2023 Computers & Chemical Engineering article Chemical Engineering Ionic liquids properties and applications Open access 86 citations 2 results