Digital Transformation of Materials Science

In materials science, complex relationships exist between the properties of materials and their composition and processing. For this reason, digital transformation in this domain presents a particularly great challenge.


At Fraunhofer ISC, we are facing this challenge with a broad-based strategy that closely links work at all relevant levels. In this context, we have set ourselves the goal of developing toward Lab 4.0, documenting scientific processes in a central information system in a way that can be read by machines, and standardizing data structures in accordance with international standards.


Developing better materials faster: Materials Acceleration Platforms (MAPs)

At ISC, there are already several MAPs projects on different materials and related processes. We not only develop the appropriate IT infrastructure but also develop the robotic hardware. We are glad to advise companies on the first steps in this new innovative field.

More about MAPs

LAB 4.0

APRONA Case Study
© Fraunhofer ISC

The laboratory is the most important source of new data from experiments and measurements. Many procedures involve a great deal of work and require exact repetitions. We are therefore working on interlinked laboratory equipment and systems in order to automate work steps as far as possible. Work that, due to its complexity, can only be performed by employees is supported by partially automated documentation. At the same time, the focus is still on humans in orchestrating the complex overall process.

Hybrid Information Systems and Data Space

Interface LAB 4.0
© AdobeStock

No matter from which source information originates or where it is further processed: For an efficient and smooth process, all actors must be networked with the same central information system. We are therefore developing a hybrid data platform that is equally suitable for humans and machines and links all data streams with each other. Along the way, researchers can use it to build semantic data spaces from connected knowledge elements and share them seamlessly with others.


Digitization ontologies
© AdobeStock

Ontologies are formal descriptions of concepts similar to vocabularies. They can define complex machine-readable relationships and thus provide the basis for a close and uniform linkage of information in the data space. Ontologies are coordinated and continuously developed on an international level.

We are particularly active in ontology development in the area of batteries (BattINFO - Battery Interface Ontology, BVCO - Battery Value Chain Ontology), but we are also driving the development of general ontologies aligned with material development processes (GPO - General Process Ontology).

Activities and Projects


Project DiMaWert

Digital building block for the energy transition


Project KIProBatt

Intelligent battery cell manufacturing with AI-supported process monitoring based on a generic system architecture


Project BIG-MAP

Invent how to invent:
BIG-MAP for accelerated battery development