May 05, 2022 book-chapter Physics-Informed Machine Learning Cambridge University Press eBooks DOI: 10.1017/9781009089517.019 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 241 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 Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight 2023 arXiv (Cornell University) preprint Engineering Building Energy and Comfort Optimization Open access 0 citations Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction 2023 arXiv (Cornell University) preprint Engineering Phase Equilibria and Thermodynamics Open access 1 citations A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method 2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access 216 citations 3 results References 0