Weierstrass Institute (WIAS) - Germany
Thomas Koprucki received the Diploma degree in physics from University of Paderborn, Germany, and the Ph.D. degree in mathematics from the Free University of Berlin, Germany.
Since 1997 he has been working at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin. He started his career in the Research Group "Numerical Mathematics and Scientific Computing" with spectral theory and numerical methods for the computation of electronic states in semiconductor nanostructures.
He co-authored the software WIAS-QW for multi quantum well structures. In 2011 he moved to the Research Group "Partial differential equations" where he is working on mathematical modeling and simulation of nano- and optoelectronic devices. He is contributing to the C++-code ddfermi for drift-diffusion processes in semiconductors. He is interested in the development of concepts for mathematical knowledge management in his field.
May 11, 2017 10:00 - 10:30
Mathematical modeling and simulation (MMS) has now been established as an essential part of the scientific work in many disciplines.
It is common to categorize the involved numerical data and to some extend the corresponding scientific software as research data. Both have their origin in mathematical models. A holistic approach to research data in MMS should cover all three aspects: models, software, and data.
Yet it is unclear, whether a suitable management of the mathematical knowledge related to models is possible and how it would look like.
In this talk, we outline an approach to address this problem based on a flexiformal representation of the mathematical knowledge in publications and research software. We will discuss how this can improve the sustainability of research obtained by mathematical modeling and numerical simulations.