September 19, 2025 article Open access Deep learning for simulating the evolution of condensed matter systems at the continuum scale: methods and applications Journal of Physics Condensed Matter DOI: 10.1088/1361-648x/ae096d Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 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 surrogate modeling of microstructure evolution using phase-field 2022 Computational Materials Science article Materials Science Machine Learning in Materials Science 62 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 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 3 results