January 15, 2019 article Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels Computational Materials Science DOI: 10.1016/j.commatsci.2019.01.006 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 110 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 Explainable machine learning for predicting the mechanical properties in bainitic steels 2023 Materials & Design article Engineering Microstructure and Mechanical Properties of Steels Open access 17 citations Explainable Machine Learning for Predicting the Mechanical Properties in Bainitic Steels 2023 SSRN Electronic Journal preprint Engineering Microstructure and Mechanical Properties of Steels Open access 0 citations Capabilities of Auto-encoders and Principal Component Analysis of the reduction of microstructural images; Application on the acceleration of Phase-Field simulations 2022 Computational Materials Science article Physics and Astronomy Model Reduction and Neural Networks Open access 29 citations Characterisation of the spherulitic microstructure of semi-crystalline thermoplastics 2021 Materialia article Materials Science Polymer crystallization and properties 2 citations 4 results References 0