March 21, 2019 article Machine learning for data-driven discovery in solid Earth geoscience Science DOI: 10.1126/science.aau0323 OpenAlex Authors 0 Author list not loaded yet. Cited by 16 stored of 1,284 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 About the trustworthiness of physics-based machine learning – considerations for geomechanical applications 2025 Solid Earth article Physics and Astronomy Model Reduction and Neural Networks Open access 2 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 Clustering has a meaning: optimization of angular similarity to detect 3D geometric anomalies in geological terrains 2022 Solid Earth article Earth and Planetary Sciences Geological Modeling and Analysis Open access cited by 1 patent 3 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 Comment on egusphere-2022-633 2022 peer-review Earth and Planetary Sciences Geological Modeling and Analysis Open access 0 citations Comment on egusphere-2022-633 2022 peer-review Earth and Planetary Sciences Geological Modeling and Analysis Open access 0 citations Clustering has a meaning: optimization of angular similarity to detect 3D geometric anomalies in geological terrains 2022 preprint Earth and Planetary Sciences Geological Modeling and Analysis Open access 1 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 Laboratory earthquake forecasting: A machine learning competition 2021 Proceedings of the National Academy of Sciences article Computer Science Seismology and Earthquake Studies Open access cited by 1 patent 123 citations 16 results References 0