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[1]
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Y. Shih, C. Mehlmann, M. Losch, and G. Stadler.
Robust and efficient primal-dual Newton-Krylov solvers for
viscous-plastic sea-ice models.
Journal of Computational Physics, 474, 111802, 2023.
[ bib |
DOI ]
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[2]
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U. Kapustsin, U. Kaya, and T. Richter.
Implementation of a hybrid neural network solver for the Poisson
problem.
Zenodo, 2023.
[ bib |
DOI ]
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[3]
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U. Kapustsin, U. Kaya, and T. Richter.
A hybrid finite element/neural network solver and its application to
the Poisson problem.
Proceedings in Applied Mathematics and Mechanics,
e202300135, 2023.
[ bib |
DOI |
http ]
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[4]
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D. Dominguez, L. Lautsch, and T. Richter.
A variational approach for temporal multiscale problems and its
application to adaptivity and optimization.
Proceedings in Applied Mathematics and Mechanics,
e202300193, 2023.
[ bib |
DOI ]
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[5]
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C. Mehlmann, G. Capodaglio, and S. Danilov.
Simulating sea-ice deformation in viscous-plastic sea-ice models with
CD-grids.
Journal of Advances in Modeling Earth Systems, 15(8),
e2023MS003696, 2023.
[ bib |
DOI ]
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[6]
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P. de Almeida Konzen, L. Guidi, and T. Richter.
Quasi-Random Discrete Ordinates Method to Radiative Transfer Equation
with Linear Anisotropic Scattering.
In Anais do(a) Anais do Encontro Nacional de
Modelagem Computacional, Encontro de Ciência e Tecnologia de Materiais,
Conferência Sul em Modelagem Computacional e Seminário e Workshop
em Engenharia Oceânica. Even3, 2023.
[ bib |
DOI ]
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[7]
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H. von Wahl and T. Richter.
An Eulerian time-stepping scheme for a coupled parabolic moving
domain problem using equal-order unfitted finite elements.
In Proceedings in Applied Mathematics and
Mechanics, volume 22. 2023.
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DOI ]
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[8]
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T. Richter, M. Janczyk, and R. Ulrich.
Diffusion models with time-dependent parameters: An analysis of
computational effort and accuracy of different numerical methods.
Journal of Mathematical Psychology, 114, 102756, 2023.
[ bib |
DOI ]
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[9]
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C. Hohenegger, P. Korn, L. Linardakis, R. Redler,
R. Schnur, P. Adamidis, J. Bao, S. Bastin,
M. Behravesh, M. Bergemann, J. Biercamp,
H. Bockelmann, R. Brokopf, N. Brüggemann,
L. Casaroli, F. Chegini, G. Datseris, M. Esch,
G. George, M. Giorgetta, O. Gutjahr, H. Haak,
M. Hanke, T. Ilyina, T. Jahns, J. Jungclaus,
M. Kern, D. Klocke, L. Kluft, T. Kölling,
L. Kornblueh, S. Kosukhin, C. Kroll, J. Lee,
T. Mauritsen, C. Mehlmann, T. Mieslinger, A. K.
Naumann, L. Paccini, A. Peinado, D. S. Praturi,
D. Putrasahan, S. Rast, T. Riddick, N. Roeber,
H. Schmidt, U. Schulzweida, F. Schütte,
H. Segura, R. Shevchenko, V. Singh, M. Specht,
C. C. Stephan, J.-S. von Storch, R. Vogel,
C. Wengel, M. Winkler, F. Ziemen, J. Marotzke,
and B. Stevens.
ICON-Sapphire: simulating the components of the Earth system and
their interactions at kilometer and subkilometer scales.
Geoscientific Model Development, 16(2), 779--811,
2023.
[ bib |
DOI ]
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[10]
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S. Frei, G. Judakova, and T. Richter.
A locally modified second-order finite element method for interface
problems and its implementation in 2 dimensions.
ESAIM: Mathematical Modelling and Numerical Analysis,
2023.
Accepted.
[ bib |
https ]
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[11]
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P. Minakowski and T. Richter.
A priori and a posteriori error estimates for the Deep Ritz method
applied to the Laplace and Stokes problem.
Journal of Computational and Applied Mathematics, 421,
114845, 2023.
[ bib |
DOI |
arXiv ]
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[12]
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L. Gkimisis, T. Richter, and P. Benner.
Adjacency-based, non-intrusive model reduction for Vortex-Induced
Vibrations.
Proceedings in Applied Mathematics & Mechanics,
23(4), e202300047, 2023.
[ bib |
DOI |
http ]
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[13]
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T. Richter, V. Dansereau, C. Lessig, and
P. Minakowski.
A snippet from neXtSIM_DG : next generation sea-ice model with DG.
Zenodo, 2023.
[ bib |
DOI ]
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[14]
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T. Richter, V. Dansereau, C. Lessig, and
P. Minakowski.
The neXtSIM-DG dynamical core: A Framework for Higher-order Finite
Element Sea Ice Modeling.
Geophysical Model Development, 2023.
[ bib |
DOI ]
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