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Papers matching “subsurface characterization” 9

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Multitechnique characterization of secondary minerals near HI-SEAS, Hawaii, as Martian subsurface analogues
2023 Scientific Reports article Physics and Astronomy Planetary Science and Exploration Open access

Sebastian J. Mulder, Frank J. A. van Ruitenbeek, Bernard H. Foing, Mónica Sánchez‐Román

4

citations
Uncertainty quantification for basin-scale geothermal conduction models
2022 Scientific Reports article Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Karen Veroy, Florian Wellmann

18

citations
Uncertainty Quantification for Basin-Scale Geothermal Conduction Models
2021 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Karen Veroy, Florian Wellmann

0

citations
Reply on RC2
2021 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen

0

citations
Reply on RC1
2021 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen

0

citations
Mars Express and Trace Gas Orbiter – status, science highlights, plans
2022 conference-abstract Physics and Astronomy Planetary Science and Exploration Open access

Colin Wilson, Dmitri Titov, Patrick D. Martin, Alejandro Cardesín‐Moinelo, John Carter, M. Giuranna, +9 more

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
Oxygen-induced surface reconstructions on curved Ag(111)
2021 Journal of Vacuum Science & Technology A Vacuum Surfaces and Films article Physics and Astronomy Surface and Thin Film Phenomena

Marie E. Turano, Ludo B. F. Juurlink, Maxwell Z. Gillum, Elizabeth A. Jamka, George Hildebrandt, Faith J. Lewis, +1 more

9

citations
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

9 results