February 07, 2021 article Open access Quantitative mapping of service process-microstructural degradation-property deterioration for a Ni-based superalloy based on chord length distribution imaging process Materials & Design DOI: 10.1016/j.matdes.2021.109561 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 42 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 Machine learning-based identification of interpretable process-structure linkages in metal additive manufacturing 2023 Additive manufacturing article Engineering Additive Manufacturing Materials and Processes 40 citations Irregular microstructure-property linkage for cast alloys by a novel deep learning approach: Application on cast austenitic stainless steel 2023 Materials Today Communications article Materials Science Machine Learning in Materials Science 7 citations 2 results References 0