October 18, 2024 article Two-stage surrogate modeling for data-driven design optimization with application to composite microstructure generation Engineering Applications of Artificial Intelligence DOI: 10.1016/j.engappai.2024.109436 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 12 References 1 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 Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties 2024 Machine Learning with Applications article Materials Science Machine Learning in Materials Science Open access 22 citations 1 result