December 17, 2020 article Open access PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain Journal of Computational Physics DOI: 10.1016/j.jcp.2020.110079 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 6 stored of 632 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 Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEs 2025 Finite Elements in Analysis and Design article Physics and Astronomy Model Reduction and Neural Networks 10 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 A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations 2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 27 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 6 results References 0