TY - JOUR A1 - Kirner, Simon A1 - Hammerschmidt, Martin A1 - Schwanke, Christoph A1 - Lockau, Daniel A1 - Calnan, Sonya A1 - Frijnts, Tim A1 - Neubert, Sebastian A1 - Schöpke, Andreas A1 - Schmidt, Frank A1 - Zollondz, Jens-Hendrik A1 - Heidelberg, Andreas A1 - Stannowski, Bernd A1 - Rech, Bernd A1 - Schlatmann, Rutger T1 - Implications of TCO Topography on Intermediate Reflector Design for a-Si/μc-Si Tandem Solar Cells — Experiments and Rigorous Optical Simulations JF - IEEE Journal of Photovoltaics Y1 - 2014 U6 - https://doi.org/10.1109/JPHOTOV.2013.2279204 VL - 4 IS - 1 SP - 10 EP - 15 ER - TY - JOUR A1 - Zander, Thomas A1 - Dreischarf, Marcel A1 - Timm, Anne-Katrin A1 - Baumann, Wolfgang A1 - Schmidt, Hendrik T1 - Impact of material and morphological parameters on the mechanical response of the lumbar spine - A finite element sensitivity study JF - Journal of Biomechanics KW - finite element modelling KW - lumbar spine KW - sensitivity analysis KW - model validation KW - coefficient of determination Y1 - 2016 U6 - https://doi.org/10.1016/j.jbiomech.2016.12.014 VL - 53 SP - 185 EP - 190 ER - TY - CHAP A1 - Schembera, Björn A1 - Wübbeling, Frank A1 - Kleikamp, Hendrik A1 - Schmidt, Burkhard A1 - Shehu, Aurela A1 - Reidelbach, Marco A1 - Biedinger, Christine A1 - Fiedler, Jochen A1 - Koprucki, Thomas A1 - Iglezakis, Dorothea A1 - Göddeke, Dominik T1 - Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics T2 - Metadata and Semantic Research. MTSR 2024 N2 - Mathematical models and algorithms are an essential part of mathematical research data, as they are epistemically grounding numerical data. To make this research data FAIR, we present how two previously distinct ontologies, MathAlgoDB for algorithms and MathModDB for models, were merged and extended into a living knowledge graph as the key outcome. This was achieved by connecting the ontologies through computational tasks that correspond to algorithmic tasks. Moreover, we show how models and algorithms can be enriched with subject-specific metadata, such as matrix symmetry or model linearity, essential for defining workflows and determining suitable algorithms. Additionally, we propose controlled vocabularies to be added, along with a new class that differentiates base quantities from specific use case quantities. We illustrate the capabilities of the developed knowledge graph using two detailed examples from different application areas of applied mathematics, having already integrated over 250 research assets into the knowledge graph. Y1 - 2025 SN - 9783031819735 U6 - https://doi.org/10.1007/978-3-031-81974-2_8 SN - 1865-0929 VL - 2331 SP - 95 EP - 109 PB - Springer Nature Switzerland CY - Cham ER - TY - CHAP A1 - Schembera, Björn A1 - Wübbeling, Frank A1 - Kleikamp, Hendrik A1 - Biedinger, Christine A1 - Fiedler, Jochen A1 - Reidelbach, Marco A1 - Shehu, Aurela A1 - Schmidt, Burkhard A1 - Koprucki, Thomas A1 - Iglezakis, Dotothea A1 - Göddeke, Dominik T1 - Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines T2 - Metadata and Semantic Research - MTSR 2023 N2 - In applied mathematics and related disciplines, the modeling-simulation-optimization workflow is a prominent scheme, with mathematical models and numerical algorithms playing a crucial role. For these types of mathematical research data, the Mathematical Research Data Initiative has developed, merged and implemented ontologies and knowledge graphs. This contributes to making mathematical research data FAIR by introducing semantic technology and documenting the mathematical foundations accordingly. Using the concrete example of microfracture analysis of porous media, it is shown how the knowledge of the underlying mathematical model and the corresponding numerical algorithms for its solution can be represented by the ontologies. Y1 - 2023 U6 - https://doi.org/10.1007/978-3-031-65990-4_14 SP - 161 EP - 168 PB - Springer Nature Switzerland CY - Cham ET - Communications in Computer and Information Science ER -