Publications

Anna Rörich, Tim A. Werthmann, Dominik Göddeke, and Lars Grasedyck. Bayesian inversion for electromyography using low-rank tensor formats. Inverse Problems, (37)5:055003, Institute of Physics, 2021. [PUMA: ubs_10008 ubs_20013 ubs_30123 ubs_40195 unibibliografie wos]

Mario Zinßer, Benedikt Braun, Tim Helder, Theresa Magorian Friedlmeier, Bart Pieters, Alexander Heinlein, Martin Denk, Dominik Göddeke, and Michael Powalla. Irradiation-dependent topology optimization of metallization grid patterns and variation of contact layer thickness used for latitude-based yield gain of thin-film solar modules. MRS advances, (7)30:706-712, Springer, 2022. [PUMA: mult oa ubs_10002 ubs_10008 ubs_20002 ubs_20013 ubs_30123 ubs_30190 ubs_40195 ubs_40393 unibibliografie wos]

Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, and Barbara Wohlmuth. Resiliency in numerical algorithm design for extreme scale simulations. The international journal of high performance computing applications, (36)2:251-285, Sage Publications, 2022. [PUMA: sent ubs_10008 ubs_20013 ubs_30123 ubs_40195 unibibliografie]

Felix Huber, Paul-Christian Bürkner, Dominik Göddeke, and Miriam Schulte. Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization". 2023. [PUMA: darus mult ubs_10005 ubs_10008 ubs_10021 ubs_20008 ubs_20013 ubs_20019 ubs_30082 ubs_30123 ubs_30165 ubs_40116 ubs_40195 unibibliografie]

Jenny Schmalfuss, Cedric Riethmüller, Mirco Altenbernd, Kilian Weishaupt, and Dominik Göddeke. Partitioned coupling vs. monolithic block-preconditioning approaches for solving Stokes-Darcy systems. In E. Oñate, M. Papadrakakis, and B. Schrefler (Eds.), Presentations and Plenary videos to 9th edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021), Scipedia, S.L., Barcelona, 2021. [PUMA: mult oa sent ubs_10002 ubs_10005 ubs_10008 ubs_10021 ubs_20002 ubs_20008 ubs_20013 ubs_20019 ubs_30028 ubs_30086 ubs_30123 ubs_30165 ubs_40127 ubs_40195 unibibliografie]

Julia Kühnert, Dominik Göddeke, and Melanie Herschel. Provenance-integrated parameter selection and optimization in numerical simulations. 13th International Workshop on Theory and Practice of Provenance, 1-4, Curran Associates, Inc., Red Hook, 2021. [PUMA: mult sent ubs_10005 ubs_10008 ubs_20008 ubs_20013 ubs_30082 ubs_30123 ubs_40113 ubs_40195 unibibliografie] URL

Kerstin Jung, Björn Schembera, and Markus Gärtner. Best of Both Worlds? : Mapping Process Metadata in Digital Humanities and Computational Engineering. In Emmanouel Garoufallou, Maria-Antonia Ovalle-Perandones, and Andreas Vlachidis (Eds.), Metadata and Semantic Research, 1537:199-205, Springer, Cham, 2022. [PUMA: mult ubs_10005 ubs_10008 ubs_20008 ubs_20013 ubs_30081 ubs_30123 ubs_40111 ubs_40195 unibibliografie wos]

Benjamin Maier, Dominik Göddeke, Felix Huber, Thomas Klotz, Oliver Röhrle, and Miriam Schulte. OpenDiHu: An Efficient and Scalable Framework for Biophysical Simulations of the Neuromuscular System. 1-42, Elsevier, 2022. [PUMA: abgleich mult ubs_10002 ubs_10005 ubs_10008 ubs_20002 ubs_20008 ubs_20013 ubs_30082 ubs_30123 ubs_30190 ubs_40116 ubs_40195 ubs_40393 unibibliografie]

Martin Thomas Horsch, Björn Schembera, and Heinz A. Preisig. European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling. 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI), 22-27, IEEE, 2023. [PUMA: ubs_10008 ubs_20013 ubs_30123 ubs_40195 unibibliografie wos]

Carme Homs Pons, and Robin Lautenschlager. Replication Data for: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models. 2024. [PUMA: darus mult ubs_10005 ubs_10008 ubs_10021 ubs_20008 ubs_20013 ubs_20019 ubs_30082 ubs_30123 ubs_30165 ubs_40195 unibibliografie]