November 24, 2022 article Open access Explainable machine learning for understanding and predicting geometry and defect types in Fe-Ni alloys fabricated by laser metal deposition additive manufacturing Journal of Materials Research and Technology DOI: 10.1016/j.jmrt.2022.11.137 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 76 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 2 results References 0