| Toward extremely scalable nonlinear domain decomposition methods for elliptic partial differential equations A Klawonn, M Lanser, O Rheinbach SIAM Journal on Scientific Computing 37 (6), C667-C696, 2015 | 90 | 2015 |
| Nonlinear feti-dp and bddc methods A Klawonn, M Lanser, O Rheinbach SIAM Journal on Scientific Computing 36 (2), A737-A765, 2014 | 86 | 2014 |
| Combining machine learning and domain decomposition methods for the solution of partial differential equations—A review A Heinlein, A Klawonn, M Lanser, J Weber GAMM‐Mitteilungen 44 (1), e202100001, 2021 | 68 | 2021 |
| Nonlinear FETI-DP and BDDC methods: a unified framework and parallel results A Klawonn, M Lanser, O Rheinbach, M Uran SIAM Journal on Scientific Computing 39 (6), C417-C451, 2017 | 54 | 2017 |
| On an adaptive coarse space and on nonlinear domain decomposition A Klawonn, M Lanser, P Radtke, O Rheinbach Domain decomposition methods in science and engineering XXI, 71-83, 2014 | 41 | 2014 |
| Machine learning in adaptive domain decomposition methods---predicting the geometric location of constraints A Heinlein, A Klawonn, M Lanser, J Weber SIAM Journal on Scientific Computing 41 (6), A3887-A3912, 2019 | 39 | 2019 |
| Scalability of classical algebraic multigrid for elasticity to half a million parallel tasks AH Baker, A Klawonn, T Kolev, M Lanser, O Rheinbach, UM Yang Software for Exascale Computing-SPPEXA 2013-2015, 113-140, 2016 | 36 | 2016 |
| Combining Machine Learning and Adaptive Coarse Spaces---A Hybrid Approach for Robust FETI-DP Methods in Three Dimensions A Heinlein, A Klawonn, M Lanser, J Weber SIAM Journal on Scientific Computing 43 (5), S816-S838, 2021 | 35* | 2021 |
| Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks V Grimm, A Heinlein, A Klawonn, M Lanser, J Weber Electron. Trans. Numer. Anal 56, 1-27, 2022 | 34 | 2022 |
| Computational homogenization with million-way parallelism using domain decomposition methods A Klawonn, S Köhler, M Lanser, O Rheinbach Computational Mechanics 65 (1), 1-22, 2020 | 21 | 2020 |
| FE2TI: Computational Scale Bridging for Dual-Phase Steels A Klawonn, M Lanser, O Rheinbach Parallel Computing: On the Road to Exascale, 797-806, 2016 | 20 | 2016 |
| Hybrid MPI/OpenMP parallelization in FETI-DP methods A Klawonn, M Lanser, O Rheinbach, H Stengel, G Wellein Recent Trends in Computational Engineering-CE2014: Optimization, Uncertainty …, 2015 | 19 | 2015 |
| A highly scalable implementation of inexact nonlinear FETI-DP without sparse direct solvers A Klawonn, M Lanser, O Rheinbach Numerical Mathematics and Advanced Applications ENUMATH 2015, 255-264, 2016 | 18 | 2016 |
| A frugal FETI-DP and BDDC coarse space for heterogeneous problems A Heinlein, A Klawonn, M Lanser, J Weber Universität zu Köln, 2019 | 17 | 2019 |
| Nonlinear feti-dp and bddc methods MH Lanser Universität zu Köln, 2015 | 17 | 2015 |
| Nonlinear BDDC methods with approximate solvers A Klawonn, M Lanser, O Rheinbach Verlag der Österreichischen Akademie der Wissenschaften, 2018 | 16 | 2018 |
| One-Way and Fully-Coupled FE2 Methods for Heterogeneous Elasticity and Plasticity Problems: Parallel Scalability and an Application to Thermo-Elastoplasticity of … D Balzani, A Gandhi, A Klawonn, M Lanser, O Rheinbach, J Schröder Software for Exascale Computing-SPPEXA 2013-2015, 91-112, 2016 | 16 | 2016 |
| Multicore performance engineering of sparse triangular solves using a modified roofline model M Wittmann, G Hager, R Janalik, M Lanser, A Klawonn, O Rheinbach, ... 2018 30th International Symposium on Computer Architecture and High …, 2018 | 12 | 2018 |
| Preconditioning the coarse problem of BDDC methods-three-level, algebraic multigrid, and vertex-based preconditioners A Klawonn, M Lanser, O Rheinbach, J Weber Universität zu Köln, 2019 | 10 | 2019 |
| A Domain Decomposition–Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems A Klawonn, M Lanser, J Weber SIAM Journal on Scientific Computing 46 (5), C557-C582, 2024 | 9 | 2024 |
