IPF Technology Platform
The IPF Technology Platform is a cross-divisional network that bring together people, tools, and knowledge around a shared focus. Its purpose is to connect expertise and infrastructure across the institute to streamline processes, encourage collaboration, and drive innovation.
What
Technology Platforms are cross-divisional initiatives focused on specific technological capabilities, organizing existing tools and knowledge to help researchers quickly access expertise, infrastructure, and support.
- Applied Surface Engineering (ASE)
- Cross-scale Polymer Processing (CPP)
- Coordinator Polymer & Materials Analyses
- (PMA) Coordinator Material Data Science (MDS)
Why
To unlock the full potential of IPF’s diverse expertise and equipment, we need structures that foster collaboration, transparency, and shared access. Technology Platforms enable this by connecting people, methods, and machines across departments.
How do they Work?
Each platform is coordinated by a dedicated team and organized into thematic clusters. Platforms:
- maintain databases of equipment and methods
- offer booking and data tools
- facilitate internal and external collaborations
- support knowledge transfer and training
Together, they form a growing, institute-wide ecosystem of shared innovation.

Applied Surface
Engineering (ASE)
Coordinator: Petra Uhlmann
Focuses on surface science and coatings, connecting IPF's surface technologies to both internal and external partners for innovation in sustainable materials and surface functions.
Cross-scale Polymer Processing (CPP)
Coordinator: Ines Kuehnert
Combines polymer production and processing expertise to create resource-efficient and scalable materials, supporting circular economy solutions.
Polymer Materials
Analyses (PMA)
Coordinator: Albena Lederer
Centralizes expertise and state-of-the-art equipment for advanced analytical capabilities, enabling efficient material testing, biointerface analysis, and more.
Material Data Science (MDS)
Coordinator: Marco Werner
Harnesses AI and data science to transform research processes, creating a cohesive ecosystem for data-driven materials discovery.