September 05, 2019 article Open access Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis Journal of Computing and Information Science in Engineering DOI: 10.1115/1.4044507 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 6 stored of 89 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 Accelerating Computation of Sealing Deformation—A Physics-Informed Neural Network Framework for Hyperelastic Deformation 2026 Lecture notes in computational science and engineering conference-paper Physics and Astronomy Model Reduction and Neural Networks 0 citations Advancing deformation calculation: a physics-informed deep graph learning framework for hyperelastic materials 2025 Advanced Modeling and Simulation in Engineering Sciences article Physics and Astronomy Model Reduction and Neural Networks Open access 3 citations Extrapolation of cavitation and hydrodynamic pressure in lubricated contacts: a physics-informed neural network approach 2025 Advanced Modeling and Simulation in Engineering Sciences article Engineering Tribology and Lubrication Engineering Open access 8 citations Physics-informed neural networks for dynamic process operations with limited physical knowledge and data 2024 Computers & Chemical Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 54 citations Physics-Informed Neural Networks for the Reynolds Equation with Transient Cavitation Modeling 2024 Lubricants article Engineering Tribology and Lubrication Engineering Open access 16 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 6 results References 0