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[1]
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Shihan Guo and Thomas Richter.
Neural enrichment finite element method: A hybrid framework for
problems with strong oscillations or interface problems.
submitted, 2026.
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DOI ]
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[2]
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Medard Govoeyi and Thomas Richter.
Goal oriented error estimation for adaptive sampling of pinns.
submitted, 2026.
[ bib |
DOI ]
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[3]
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n. Ranwan, P.B. Gopika, T. Richter, and N. Chamakuri.
The a priori error analysis for loosely coupled robin-robin
partitioned scheme for a fully discrete fluid–structure interaction
problem.
submitted, 2026.
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[4]
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A. Maria Antony, T. Richter, and E. Gladilin.
Contactless determination of continuum displacement and mechanical
compressibility from image series using a deep learning based framework.
submitted, 2025.
[ bib ]
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[5]
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C. Reddig and T. Richter.
Towards and efficient temporal multiscale simulation of long-term
climate processes.
submitted, 2025.
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[6]
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R. Jendersie, N. Margenberg, C. Lessig, and T. Richter.
A robust and stable hybrid neural network/finite element method for
2d flows that generalizes to different geometries.
submitted, 2025.
[ bib |
DOI ]
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[7]
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Robert Jendersie, Christian Lessig, and Thomas Richter.
Towards a gpu-parallelization of the nextsim-dg dynamical core.
submitted, 2024.
[ bib |
DOI ]
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[8]
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M. Liebchen, U. Kaya, C. Lessig, and T. Richter.
An adaptive finite element multigrid solver using gpu acceleration.
submitted, 2024.
[ bib |
DOI ]
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[9]
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U. Kapustsin, U. Kaya, and T. Richter.
Error analysis for hybrid finite element/neural network
discretizations.
submitted, 2023.
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[10]
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U. Kaya and T. Richter.
Local pressure-correction and explicit time integration for
incompressible flows.
submitted, 2023.
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[11]
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M. Soszy nska and T. Richter.
A priori error analysis of multirate time-stepping schemes for
two-phase flow problems.
submitted, 2023.
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