August 07, 2025 review Open access Physics-Informed Surrogate Modelling in Fire Safety Engineering: A Systematic Review Applied Sciences DOI: 10.3390/app15158740 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 10 References 2 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 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 Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties 2024 Machine Learning with Applications article Materials Science Machine Learning in Materials Science Open access 22 citations 2 results