November 21, 2019 article Open access Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2019.112732 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 7 stored of 1,066 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 Introducing sustainable neuromorphic computing in Engineering Mechanics 2026 npj Artificial Intelligence article Engineering Advanced Memory and Neural Computing Open access 0 citations Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning 2025 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access 7 citations Quantifying the impact of mitral valve anatomy on clinical markers using surrogate models and sensitivity analysis 2025 Computers in Biology and Medicine article Medicine Cardiac Valve Diseases and Treatments Open access 4 citations Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 12 citations Physics-Based Self-Learning Spiking Neural Network enhanced time-integration scheme for computing viscoplastic structural finite element response 2024 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 13 citations Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks 2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access 7 citations Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response 2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks 31 citations 7 results References 0