January 01, 2026 book-chapter Elastohydrodynamic Lubrication (EHL), Interface and Wear Modeling Elsevier eBooks DOI: 10.1016/b978-0-443-30138-4.00054-6 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 5 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 Physics-informed neural networks for the Reynolds equation with cavitation modeling 2022 Tribology International article Physics and Astronomy Model Reduction and Neural Networks cited by 1 patent 59 citations Machine learning based surrogate modelling for the prediction of maximum contact temperature in EHL line contacts 2022 Tribology International article Engineering Tribology and Lubrication Engineering 32 citations Machine-Learning-Based Wear Prediction in Journal Bearings under Start–Stop Conditions 2024 Lubricants article Engineering Tribology and Lubrication Engineering Open access 23 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 Physics-Informed Neural Networks for the Reynolds Equation with Transient Cavitation Modeling 2024 Lubricants article Engineering Tribology and Lubrication Engineering Open access 16 citations 5 results