January 01, 2014 conference-paper Open access Basin-scale Geothermal Model Calibration: Experience from the Perth Basin, Australia Energy Procedia DOI: 10.1016/j.egypro.2014.10.392 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 15 stored of 21 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 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 A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models 2023 Journal of Computational Physics article Decision Sciences Optimal Experimental Design Methods Open access 7 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 Crustal-scale thermal models: revisiting the influence of deep boundary conditions 2022 Environmental Earth Sciences article Energy Geothermal Energy Systems and Applications Open access 14 citations How biased are our models? – a case study of the alpine region 2021 Geoscientific model development article Physics and Astronomy Model Reduction and Neural Networks Open access 10 citations Comment on gmd-2021-48 2021 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on RC1 2021 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Comment on gmd-2021-48 2021 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations How biased are our models? – A Case Study of the Alpine Region 2021 preprint Physics and Astronomy Model Reduction and Neural Networks Open access 1 citations 15 results References 0