January 04, 2022 article Open access A novel sequential method to train physics informed neural networks for Allen Cahn and Cahn Hilliard equations Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2021.114474 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 281 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 A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 39 citations Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains 2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 98 citations 3 results References 0