June 01, 2022 article Open access Accelerating phase-field predictions via recurrent neural networks learning the microstructure evolution in latent space Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2022.115128 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 94 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 Tackling multiphysics problems via finite element guided physics-informed operator learning 2026 Results in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 2 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 2 results References 0