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Certified reduced basis method in geosciences: Addressing the challenge of high-dimensional problems.
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- Computational Geosciences, 2020, v. 24, n. 1, p. 241, doi. 10.1007/s10596-019-09916-6
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- Article
Clustering has a meaning: optimization of angular similarity to detect 3D geometric anomalies in geological terrains.
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- Solid Earth Discussions, 2022, p. 1, doi. 10.5194/egusphere-2022-633
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- Article
An Explanation to the Nusselt–Rayleigh Discrepancy in Naturally Convected Porous Media.
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- Transport in Porous Media, 2021, v. 137, n. 1, p. 195, doi. 10.1007/s11242-021-01556-8
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- Article
The role of geological models and uncertainties in safety assessments.
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- Environmental Earth Sciences, 2022, v. 81, n. 7, p. 1, doi. 10.1007/s12665-022-10305-z
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- Article
Crustal-scale thermal models: revisiting the influence of deep boundary conditions.
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- Environmental Earth Sciences, 2022, v. 81, n. 3, p. 1, doi. 10.1007/s12665-022-10202-5
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- Article
Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations.
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- Geoscientific Model Development, 2023, v. 16, n. 24, p. 7375, doi. 10.5194/gmd-16-7375-2023
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- Article
GeoINR 1.0: an implicit neural network approach to three-dimensional geological modelling.
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- Geoscientific Model Development, 2023, v. 16, n. 23, p. 6987, doi. 10.5194/gmd-16-6987-2023
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PySubdiv 1.0: open-source geological modeling and reconstruction by non-manifold subdivision surfaces.
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- Geoscientific Model Development, 2023, v. 16, n. 12, p. 3565, doi. 10.5194/gmd-16-3565-2023
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- Article
Constraining stochastic 3-D structural geological models with topology information using approximate Bayesian computation in GemPy 2.1.
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- Geoscientific Model Development, 2021, v. 14, n. 6, p. 3899, doi. 10.5194/gmd-14-3899-2021
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- Article
GemPy 1.0: open-source stochastic geological modeling and inversion.
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- Geoscientific Model Development, 2019, v. 12, n. 1, p. 1, doi. 10.5194/gmd-12-1-2019
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- Article
Perspectives of Physics-Based Machine Learning for Geoscientific Applications Governed by Partial Differential Equations.
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- Geoscientific Model Development Discussions, 2023, p. 1, doi. 10.5194/gmd-2022-309
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- Article
GeoINR 1.0: an implicit neural representation network for threedimensional geological modelling.
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- Geoscientific Model Development Discussions, 2023, p. 1, doi. 10.5194/gmd-2022-290
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- Article
HER: an information theoretic alternative for geostatistics.
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- Hydrology & Earth System Sciences Discussions, 2020, p. 1, doi. 10.5194/hess-2020-5
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- Article
Is it possible to capture epistemic uncertainty in geological models?
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Extracting heterogeneity of subsoil from geophysical measurements using unsupervised learning algorithms.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Investigating effects of near-surface resistivity changes on time-lapse ERT inversion.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Uncertainty Quantification for Basin Scale Heat Flow Models with a Physics-Based Machine Learning Approach.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Open-AR-Sandbox: An open-source Augmented Reality platform for geoscience.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Article
Bayesian Decision Theory in Structural Geological Modeling - How Reducing Uncertainties Affects Reservoir Value Estimations.
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- Geophysical Research Abstracts, 2018, v. 20, p. 8721
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- Article
Learning patterns from data in an unsupervised manner: A Bayesian approach for spatial and statistical pattern extraction of subsoil heterogeneity using satellite derived NDVI time series and electromagnetic induction measurements.
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- Geophysical Research Abstracts, 2018, v. 20, p. 7705
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- Article
Optimising uncertain 3-D geological models using topological likelihood functions in a model-based machine learning framework.
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- Geophysical Research Abstracts, 2018, v. 20, p. 7507
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Probabilistic Geomodeling and Scenario Testing in a Bayesian Framework.
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- Geophysical Research Abstracts, 2018, v. 20, p. 6264
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From GoogleEarth to 3-D Geology: Seeing below the surface of the Digital Earth.
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- Geophysical Research Abstracts, 2018, v. 20, p. 5514
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Topographic uncertainty in mass flow simulations - preliminary results.
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- Geophysical Research Abstracts, 2018, v. 20, p. 5365
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An integrated modeling scheme for characterizing 3D hydrogeological heterogeneity of the New Jersey shelf.
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- Marine Geophysical Research, 2022, v. 43, n. 2, p. 1, doi. 10.1007/s11001-022-09475-z
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- Article
Constraining stochastic 3-D structural geological models with topology information using Approximate Bayesian Computation using GemPy 2.1.
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- Geoscientific Model Development Discussions, 2020, p. 1, doi. 10.5194/gmd-2020-136
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- Publication type:
- Article
GemPy 1.0: open-source stochastic geological modeling and inversion.
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- Geoscientific Model Development Discussions, 2018, p. 1, doi. 10.5194/gmd-2018-61
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- Publication type:
- Article
Information Theory for Correlation Analysis and Estimation of Uncertainty Reduction in Maps and Models.
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- Entropy, 2013, v. 15, n. 4, p. 1464, doi. 10.3390/e15041464
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- Article
Pattern Extraction of Topsoil and Subsoil Heterogeneity and Soil‐Crop Interaction Using Unsupervised Bayesian Machine Learning: An Application to Satellite‐Derived NDVI Time Series and Electromagnetic Induction Measurements.
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- Journal of Geophysical Research. Biogeosciences, 2019, v. 124, n. 6, p. 1524, doi. 10.1029/2019JG005046
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Histogram via entropy reduction (HER): an information-theoretic alternative for geostatistics.
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- Hydrology & Earth System Sciences, 2020, v. 24, n. 9, p. 4523, doi. 10.5194/hess-24-4523-2020
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- Article
Change of stress regime during geothermal reservoir stimulation.
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- Geophysical Research Letters, 2014, v. 41, n. 4, p. 1163, doi. 10.1002/2013GL058514
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Analyzing the influence of correlation length in permeability on convective systems in heterogeneous aquifers using entropy production.
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- Geothermal Energy, 2019, v. 7, n. 1, p. N.PAG, doi. 10.1186/s40517-019-0151-6
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- Article
3D multi-physics uncertainty quantification using physics-based machine learning.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-21739-7
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- Article
3D multi-physics uncertainty quantification using physics-based machine learning.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-21739-7
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- Article
Clustering has a meaning: optimization of angular similarity to detect 3D geometric anomalies in geological terrains.
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- Solid Earth, 2022, v. 13, n. 11, p. 1697, doi. 10.5194/se-13-1697-2022
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- Publication type:
- Article
Actors, actions, and uncertainties: optimizing decision-making based on 3-D structural geological models.
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- Solid Earth, 2019, v. 10, n. 6, p. 2015, doi. 10.5194/se-10-2015-2019
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- Article
Methods and uncertainty estimations of 3-D structural modelling in crystalline rocks: a case study.
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- Solid Earth, 2017, v. 8, n. 6, p. 987, doi. 10.5194/se-8-987-2017
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- Article
Methods and uncertainty estimations of 3-D structural modelling in crystalline rocks: a case study.
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- Solid Earth, 2017, v. 8, n. 5, p. 987, doi. 10.5194/se-8-987-2017
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- Article
The Surface Velocity Response of a Tropical Glacier to Intra and Inter Annual Forcing, Cordillera Blanca, Peru.
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- Remote Sensing, 2021, v. 13, n. 14, p. 2694, doi. 10.3390/rs13142694
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Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data.
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- Geophysical Research Letters, 2021, v. 48, n. 6, p. 1, doi. 10.1029/2020GL091285
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- Article
Water Table Uncertainties due to Uncertainties in Structure and Properties of an Unconfined Aquifer.
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- Ground Water, 2018, v. 56, n. 2, p. 251, doi. 10.1111/gwat.12577
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- Article
Uncertainty quantification for basin-scale geothermal conduction models.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-08017-2
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- Article
Hydraulic behavior of fault zones in pump tests of geothermal wells: a parametric analysis using numerical simulations for the Upper Jurassic aquifer of the North Alpine Foreland Basin.
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- Geothermal Energy, 2019, v. 7, n. 1, p. N.PAG, doi. 10.1186/s40517-019-0137-4
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- Article
Informed Local Smoothing in 3D Implicit Geological Modeling.
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- Minerals (2075-163X), 2021, v. 11, n. 11, p. 1281, doi. 10.3390/min11111281
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Automated geological model updates during TBM operation – An approach based on probabilistic machine learning concepts.
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- Geomechanik und Tunnelbau, 2022, v. 15, n. 5, p. 635, doi. 10.1002/geot.202200053
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- Article