L. Seelinger

High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites

Robert Scheichl, R. Butler, T. Dodwell, 2019, Comput. Phys. Commun..

dune-composites -- an open source, high performance package for solving large-scale anisotropic elasticity problems

Robert Scheichl, R. Butler, T. Dodwell, 2019 .

Lowering the Entry Bar to HPC-Scale Uncertainty Quantification

Mikkel B. Lykkegaard, Robert Scheichl, L. Tamellini, 2023, ArXiv.

Modeling and Quantifying Parameter Uncertainty of Co‐Seismic Non‐Classical Nonlinearity in Rocks

A. Gabriel, H. Igel, Zihua Niu, 2023, Journal of Geophysical Research: Solid Earth.

MUQ: The MIT Uncertainty Quantification Library

M. Parno, Andrew Davis, L. Seelinger, 2021, J. Open Source Softw..

UM-Bridge: Uncertainty quantification and modeling bridge

M. Parno, A. Reinarz, A. Davis, 2023, Journal of Open Source Software.

High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo

Leonhard Rannabauer, Michael Bader, Robert Scheichl, 2021, SC21: International Conference for High Performance Computing, Networking, Storage and Analysis.

dune-composites – A New Framework for High-Performance Finite Element Modelling of Laminates

Richard Butler, Robert Scheichl, Linus Seelinger, 2017, 1707.04228.

Multilevel Spectral Domain Decomposition pdf

Peter Bastian, Linus Seelinger, Robert S. Scheichl, 2021, SIAM Journal on Scientific Computing.

Scalable multiscale-spectral GFEM with an application to composite aero-structures

Robert Scheichl, R. Butler, P. Bastian, 2022, 2211.13893.

A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems pdf

Robert Scheichl, Linus Seelinger, Anne Reinarz, 2019, PPAM.

Scalable multiscale-spectral GFEM for composite aero-structures

Robert Scheichl, R. Butler, P. Bastian, 2022, ArXiv.