A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. - Linus Seelinger; Anne Reinarz; Robert Scheichl (PPAM (1), 2019)

High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites. - Richard Butler; Tim J. Dodwell; Anne Reinarz; A. Sandhu; Robert Scheichl; Linus Seelinger (Comput. Phys. Commun., 2020)

High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo. - Linus Seelinger; Anne Reinarz; Leonhard Rannabauer; Michael Bader; Peter Bastian; Robert Scheichl (SC, 2021)

MUQ: The MIT Uncertainty Quantification Library. - Matthew D. Parno; Andrew D. Davis; Linus Seelinger (J. Open Source Softw., 2021)

Scalable multiscale-spectral GFEM for composite aero-structures. - Jean Bénézech; Linus Seelinger; Peter Bastian; Richard Butler; Timothy Dodwell; Chupeng Ma; Robert Scheichl (CoRR, 2022)

Lowering the Entry Bar to HPC-Scale Uncertainty Quantification. - Linus Seelinger; Anne Reinarz; Jean Bénézech; Mikkel Bue Lykkegaard; Lorenzo Tamellini; Robert Scheichl (CoRR, 2023)

UM-Bridge: Uncertainty quantification and modeling bridge. - Linus Seelinger; Vivian Cheng-Seelinger; Andrew D. Davis; Matthew D. Parno; Anne Reinarz (J. Open Source Softw., 2023)

Multilevel Spectral Domain Decomposition. - Peter Bastian; Robert Scheichl; Linus Seelinger; Arne Strehlow (SIAM J. Sci. Comput., 2023)

Democratizing Uncertainty Quantification. - Linus Seelinger; Anne Reinarz; Mikkel Bue Lykkegaard; Amal Mohammed A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob Sauer Jørgensen; Ki-Tae Kim; et al. (CoRR, 2024)

Scalable multiscale-spectral GFEM with an application to composite aero-structures. - Jean Bénézech; Linus Seelinger; Peter Bastian; Richard Butler; Timothy Dodwell; Chupeng Ma; Robert Scheichl (J. Comput. Phys., 2024)

Scalable Bayesian Inference of Large Simulations via Asynchronous Prefetching Multilevel Delayed Acceptance. - Maximilian Kruse; Zihua Niu; Sebastian Wolf; Mikkel Bue Lykkegaard; Michael Bader; Alice-Agnes Gabriel; Linus Seelinger (PASC, 2025)

A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems. - Chung Ming Loi; Anne Reinarz; Linus Seelinger; William Hornsby; James Buchanan; Mikkel Bue Lykkegaard (ISC, 2025)

Democratizing uncertainty quantification. - Linus Seelinger; Anne Reinarz; Mikkel Bue Lykkegaard; Robert Akers; Amal Mohammed A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob Sauer Jørgensen; et al. (J. Comput. Phys., 2025)