February 10, 2019 report Open access Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence DOI: 10.2172/1478744 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 13 stored of 294 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 Sensitivity analysis using physics-based machine learning: an example from surrogate modelling for magnetotellurics 2025 Geophysical Journal International article Physics and Astronomy Model Reduction and Neural Networks Open access 1 citations Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations 2023 Geoscientific model development article Physics and Astronomy Model Reduction and Neural Networks Open access 39 citations Reply on RC2 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Comment on gmd-2022-309 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on CEC1 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on AC2 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on RC1 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Comment on gmd-2022-309 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Perspectives of Physics-Based Machine Learning for Geoscientific Applications Governed by Partial Differential Equations 2023 preprint Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations 3D multi-physics uncertainty quantification using physics-based machine learning 2022 Scientific Reports article Physics and Astronomy Model Reduction and Neural Networks Open access 30 citations 3D Multi-Physics Uncertainty Quantification using Physics-Based Machine Learning 2022 Research Square preprint Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Uncertainty quantification for basin-scale geothermal conduction models 2022 Scientific Reports article Physics and Astronomy Model Reduction and Neural Networks Open access 18 citations Uncertainty Quantification for Basin-Scale Geothermal Conduction Models 2021 preprint Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations 13 results References 0