September 29, 2023 article Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems Neurocomputing DOI: 10.1016/j.neucom.2023.126826 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 59 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 HOMO-PINN: Hyperparameter Optimization of a Multi-output Physics-Informed Neural Network 2025 Operations Research Forum article Physics and Astronomy Model Reduction and Neural Networks Open access 1 citations Extrapolation of Hydrodynamic Pressure in Lubricated Contacts: A Novel Multi-Case Physics-Informed Neural Network Framework 2024 Lubricants article Physics and Astronomy Model Reduction and Neural Networks Open access 19 citations FAST COMPUTATION OF LUBRICATED CONTACTS: A PHYSICS- INFORMED DEEP LEARNING APPROACH 2024 conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations 3 results References 0