June 23, 2015 article Open access A predictive machine learning approach for microstructure optimization and materials design Scientific Reports DOI: 10.1038/srep11551 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 248 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 Linking three-dimensional microstructure and nanoindentation hardness using machine learning 2026 Communications Materials article Materials Science Machine Learning in Materials Science Open access 0 citations Data‐driven inverse design and optimisation of silica aerogel model networks 2023 PAMM article Materials Science Machine Learning in Materials Science Open access 4 citations Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network 2023 steel research international article Engineering Microstructure and Mechanical Properties of Steels Open access 9 citations A data driven computational microstructure analysis on the influence of martensite banding on damage in DP-steels 2022 Computational Materials Science article Engineering Microstructure and Mechanical Properties of Steels 16 citations 4 results References 0