October 14, 2020 preprint Open access How machine learning can help the design and analysis of composite materials and structures? arXiv (Cornell University) DOI: 10.48550/arxiv.2010.09438 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 6 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 Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior 2020 Advanced Modeling and Simulation in Engineering Sciences article Materials Science Microstructure and mechanical properties Open access 74 citations An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new Time-distributed Residual U-Net architecture 2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks 71 citations Deep convolutional neural networks in structural dynamics under consideration of viscoplastic material behaviour 2020 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks 44 citations 3 results