June 30, 2023 article Open access FEM-GAN: A Physics-Supervised Deep Learning Generative Model for Elastic Porous Materials Materials DOI: 10.3390/ma16134740 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 10 References 2 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 Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks 2020 Materials article Materials Science Machine Learning in Materials Science Open access 26 citations Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks 2020 Preprints.org preprint Materials Science Machine Learning in Materials Science Open access 7 citations 2 results