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Papers matching “computational methods” 123

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Uncertainty quantification with a physics-based machine learning method for geothermal-well targeting: A case study of The Hague, Netherlands
2023 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Ryan Santoso, Denise Degen, Dominique Knapp, Renate Pechnig, Florian Wellmann

1

citations
Space-time methods for poroviscoelastic flow and mass transport
2026 conference-abstract Engineering Advanced Numerical Methods in Computational Mathematics Open access

Simon Boisserée, Evangelos Moulas, Markus Bachmayr

0

citations
P78: Risk Assessment of Thrombus Formation in the left Ventricle during VAD Support using computational Models. “How simple is too simple?”
2023 ASAIO Journal conference-abstract Engineering Mechanical Circulatory Support Devices

Nina Langer, Sam Liao, Ulrich Steinseifer, Shaun David Gregory, Michael Neidlin

0

citations
Photonics with phase-change materials: theoretical and computational perspectives
2025 Active Photonic Platforms (APP) conference-abstract Materials Science Phase-change materials and chalcogenides

Dmitry N. Chigrin

0

citations
Gravity kernel method for implicit geological modeling
2022 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Zhouji Liang, Miguel De la Varga, Florian Wellmann

0

citations
What’s the top hat there? - A method for the quantification and comparison of subsurface bodies
2025 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Friedrich Carl, Peter Achtziger-Zupančič, Marlise Colling Cassel, Peter A. Kukla, Florian Wellmann

0

citations
A Hybrid Electrochemical Multi-Particle Model for Lithium-Ion Batteries
2023 ECS Meeting Abstracts conference-abstract Engineering Advanced Battery Technologies Research

Haider Adel Ali Ali, Luc H.J. Raijmakers, Dmitri L. Danilov, Peter H. L. Notten, Rüdiger‐A. Eichel

0

citations
Quantifying Geodynamical Influences through Physics-Based Machine Learning: A Case Study from the Alpine Region
2023 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Ajay Kumar, Mauro Cacace, Magdalena Scheck‐Wenderoth, Florian Wellmann

0

citations
Geophysics, geology, geometry and AI: a story of creative tension, the value of synergy and novel paths into unchartered lands
2024 conference-abstract Earth and Planetary Sciences Geophysical and Geoelectrical Methods Open access

Florian Wellmann

0

citations
Surrogate-assisted Bayesian inference with ERT data for contaminant transport modelling in the subsurface
2025 conference-abstract Earth and Planetary Sciences Geophysical and Geoelectrical Methods Open access

Maria Fernanda Morales Oreamuno, Nino Menzel, Sergey Oladyshkin, F M Wagner, Wolfgang Nowak

0

citations
Fluid flow channeling and mass transport with discontinuous porosity distribution
2025 conference-abstract Engineering Advanced Numerical Methods in Computational Mathematics Open access

Simon Boisserée, Evangelos Moulas, Markus Bachmayr

1

citations
How well do we know our models?
2020 conference-abstract Engineering Reservoir Engineering and Simulation Methods Open access

Denise Degen, Karen Veroy, Mauro Cacace, Magdalena Scheck‐Wenderoth, Florian Wellmann

1

citations
Barotropic-Baroclinic Splitting for Multilayer Shallow Water Models with Exchanges
2026 conference-abstract Engineering Computational Fluid Dynamics and Aerodynamics Open access

Sophie Hörnschemeyer, Nina Aguillon, Jacques Sainte-Marie

0

citations
Affordable and sustainable large-scale distributed radio telescope processing
2026 Radio Telescopes, Technologies, and Methods conference-abstract Physics and Astronomy Radio Astronomy Observations and Technology

P. Chris Broekema

0

citations
Adaptive 2D shallow water simulation based on a MultiWavelet Discontinous Galerkin approach
2020 conference-abstract Engineering Computational Fluid Dynamics and Aerodynamics Open access

Daniel Caviedes‐Voullième, Nils Gerhard, Aleksey Sikstel, Siegfried Müller

0

citations
Physics-based machine learning for modeling thermo-hydraulic processes in a coaxial deep borehole heat exchanger, considering an explicit reservoir-wellbore representation: A case study of Cornwall, UK
2023 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Dimitra Teza, Ryan Santoso, Nora Koltzer, Denise Degen, Tony Bennett, Florian Wellmann

0

citations
Joint Investigations of Structural and Process Related Variabilities using Physics-Based Machine Learning
2025 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Denise Degen, Mauro Cacace, Florian Wellmann

0

citations
Efficient probabilistic parameter calibration of landslide run-out models via Bayesian active learning
2022 conference-abstract Environmental Science Landslides and related hazards Open access

Hu Zhao, Julia Kowalski

0

citations
Global fine resolution mapping of ozone metrics through explainable machine learning
2021 conference-abstract Environmental Science Air Quality Monitoring and Forecasting Open access

Clara Betancourt, Scarlet Stadtler, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Ribana Roscher, +2 more

8

citations
Impact of resolution and finite element type in geomechanical-numerical modelling
2025 conference-abstract Engineering Rock Mechanics and Modeling Open access

Karsten Reiter, Oliver Heidbach, Andreas Henke, Denise Degen

0

citations
Analysis of the Kidney-Heart Cross-Talk Using Computation Ecosystems
2023 Journal of the American Society of Nephrology conference-abstract Biochemistry, Genetics and Molecular Biology Bioinformatics and Genomic Networks

Vera Jankowski, Shruti Bhargava, Zhuojun Wu, Joachim Jankowski

0

citations
PULM12: Numerical Investigation of 3D-Shaped Oxygenator Membrane Performance on the Example of an Implantable Artificial Lung
2023 ASAIO Journal conference-abstract Engineering Mechanical Circulatory Support Devices

Kai P. Barbian, Lukas T. Hirschwald, John Linkhorst, Michael Pflaum, Bettina Wiegmann, Ulrich Steinseifer, +1 more

1

citations
A fast and robust approach for simulating the pressure diffusion in three-dimensional discrete fracture networks applied to inversion problems
2020 conference-abstract Environmental Science Groundwater flow and contamination studies Open access

Lisa Maria Ringel, Márk Somogyvári, Mohammadreza Jalali, Peter Bayer

0

citations
The Value of Scientific Machine Learning for Geothermal Applications
2022 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Mauro Cacace, Mohammad Moulaeifard, Florian Wellmann

2

citations
The Application of Neural Operator in subsurface process simulation
2021 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Zhouji Liang, Denise Degen, Florian Wellmann

0

citations