D-module techniques for solving differential equations in the context of Feynman integrals

J Henn, E Pratt, AL Sattelberger, S Zoia - Letters in Mathematical Physics, 2024 - Springer
Feynman integrals are solutions to linear partial differential equations with polynomial
coefficients. Using a triangle integral with general exponents as a case in point, we compare …

Towards a FAIR documentation of workflows and models in applied mathematics

M Reidelbach, B Schembera, M Weber - International Congress on …, 2024 - Springer
Abstract Modeling-Simulation-Optimization workflows play a fundamental role in applied
mathematics. The Mathematical Research Data Initiative, MaRDI, responded to this by …

Ontologies for models and algorithms in applied mathematics and related disciplines

B Schembera, F Wübbeling, H Kleikamp… - … Conference on Metadata …, 2023 - Springer
In applied mathematics and related disciplines, the modeling-simulation-optimization
workflow is a prominent scheme, with mathematical models and numerical algorithms …

Building Ontologies and Knowledge Graphs for Mathematics and its Applications

B Schembera, F Wübbeling, T Koprucki… - Proceedings of the …, 2023 - tib-op.org
Ontologies and knowledge graphs for mathematical algorithms and models are presented,
that have been developed by the Mathematical Research Data Initiative. This enables FAIR …

Ontologies for Models and Algorithms

B Schembera¹, F Wübbeling, H Kleikamp… - … , MTSR 2023, Milan …, 2024 - books.google.com
In applied mathematics and related disciplines, the modeling-simulation-optimization
workflow is a prominent scheme, with mathematical models and numerical algorithms …

[PDF][PDF] Enabling FAIR Data in Computational Science, Engineering and Mathematics through Knowledge Graphs

B Schembera, C Riethmüller, D Göddeke - simtech2023.uni-stuttgart.de
In computational science, engineering and mathematics, dark data is on the rise [1, 2]: Huge
amounts of data are neither findable, accessible, interoperable, nor reusable. As such …