April 19, 2020 article Open access Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models Computers & Chemical Engineering DOI: 10.1016/j.compchemeng.2020.106834 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 194 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 Hybrid soft sensor modeling for the wire section in tissue manufacturing: integrating first-principles and machine learning models 2025 Nordic Pulp & Paper Research Journal article Engineering Fault Detection and Control Systems Open access 0 citations The Potential of Data-Driven Engineering Models: An Analysis Across Domains in the Automotive Development Process 2023 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Systems Engineering Methodologies and Applications 5 citations HybridML: Open source platform for hybrid modeling 2022 Computers & Chemical Engineering article Computer Science Modeling and Simulation Systems Open access 30 citations 3 results References 0