August 07, 2018 article Surrogate-based parameter inference in debris flow model Computational Geosciences DOI: 10.1007/s10596-018-9765-1 OpenAlex Authors 0 Author list not loaded yet. Cited by 23 stored of 38 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 Bayesian data selection to quantify the value of data for landslide runout calibration 2026 Nonlinear processes in geophysics article Environmental Science Landslides and related hazards Open access 1 citations Numerical Modelling of Debris Flows for Simulation-Based Decision Support: An Indian Perspective 2024 Indian geotechnical journal article Environmental Science Landslides and related hazards Open access 9 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 Bayesian active learning for parameter calibration of landslide run-out models 2022 Landslides article Environmental Science Landslides and related hazards Open access 20 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 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 Emulator-based global sensitivity analysis for flow-like landslide run-out models 2021 Landslides article Environmental Science Landslides and related hazards Open access 16 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 1–20 of 23 Page 1 / 2 Next → References 0