Joint Research & Development in international teams of experts
Math2Market participates actively in Research & Development projects in various application areas, either as a development partner or as an associated partner. Together with teams of experts worldwide, we want to contribute significantly to digital solutions for current and future challenges in Research & Development.
Current projects
structur.e pursues the further development of lithium-ion batteries with regard to current and future requirements for e-vehicles.
Project goal:Shorter charging times and greater ranges for electromobility
Our project partners: :
Volkswagen AG, SGL Carbon SE, PreciPoint GmbH, Hochschule Aalen, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Fraunhofer ITWM, Zentrum für Sonnenenergie- und Wasserstoff-Forschung (ZSW) Ulm
In the BiGoFil cooperation project, a novel filter medium made of bicomponent fibers is being developed experimentally and simulatively.
Project goal: Increasing the efficiency of oil-separating gas filters
Our project partners: :
Junker-Filter GmbH, Ahlstrom-Munksjö, Institut für Textiltechnik (RWTH Aachen University), Fakultät für Technische Prozesse (Hochschule Heilbronn), Fraunhofer ITWM
In DamageDict, material laws based on reverse engineering methodology are defined for modeling damage and failure behavior at the fiber level.
Project goal: Using GeoDict simulation to detect damage to components with fiber-reinforced plastics in advance
Our project partners: :
Institut für Verbundwerkstoffe (IVW)
Together with Prof. Wood's MaDE group at ETH Zurich, we are investigating battery aging with quantitative simulation.
Project goal: Increasing the performance and extending the service life of batteries
Our project partners::
Swiss Federal Institute of Technology Zurich (ETH)
Math2Market as Associated Partner
As Associated Partners, we oversee and influence ongoing research projects, drawing from our experience in industrial and academic settings. For example, we support project partners with relevant use cases, with digital solutions using the GeoDict software, or a top-level network of scientists and engineers. In addition to a successful project result for all participants, we plan to apply these new project findings to influence further developments of the GeoDict software.
The project aims to create a platform for interoperable management of battery materials data, predictions of quality and performance through machine learning and correlation analysis.
Project goal:Digital platform for battery material data, knowledge and their linking.
Our project partners: :
INM – Leibniz Institute for New Materials (INM), Aalen University of Technology and Economics (HSAA), AWS Institute for Digitized Products and Processes (AWSi), TU Braunschweig, Institute for Particle Technology (iPAT), TU Braunschweig, Institute for Machine Tools and Manufacturing Technology (IWF), KIT, Institute of Applied Informatics and Formal Description Methods (AIFB)