HORIZON-CL4-2027-04-DIGITAL-EMERGING-10: Horizon scanning and foresight in future enabling digital technologies - participation as consortium partner

The specialist group for smart materials at the Hochschule Mittweida University of Applied Sciences offers its expertise as consortium partner.

The expertise of the research team lies in the application of artificial intelligence, machine learning, computer vision, and scientific machine learning for the analysis of complex scientific data, including semantic segmentation, image analysis, defect detection, microstructure characterisation, and structure-property modelling. These methods are used to extract quantitative information from high-dimensional datasets and to evaluate the performance and limitations of AI approaches in scientific applications. This expertise can support horizon scanning by providing methodological input on emerging AI techniques for scientific data analysis, as well as contributing to the benchmarking and capability assessment of computer vision and machine learning methods in complex data environments.

Contact          

Prof. Dr.-Ing. Kristin Hockauf

Chair of Smart Materials

Mittweida University of Applied Sciences

Faculty Engineering Scienecs

Technikumplatz 17

09648 Mittweida

mail: hockauf@hs-mittweida.de

phone: +49 3727 58 1008

Research areas

• machine learning for materials science

• structure-property relationships

• microstructure characterisation

• microstructure segmentation

• semantic segmentation

• computer vision

• image analysis in materials science

• scientific machine learning

• computational materials science

• defect detection

• exture / grain analysis

• physics-informed machine learning

• explainable AI (XAI) in materials science

Laboratory for materials analysis

• mechanical materials testing (tensile, compression and bending tests)

• hardness testing

• notched bar impact test

• metallography

• fatigue testing

• scanning electron microscopy

• emission spectrometry

• computed tomography

• X-ray diffraction

• non-destructive materials testing

Laboratory for computation

covers multiple GPU clusters equipped with NVIDIA A100 80GB GPUs and NVIDIA V100 32GB GPUs

Chair's website

https://www.inw.hs-mittweida.de/webs/wfq/smart-materials/

https://www.inw.hs-mittweida.de/webs/wfq/werkstofftechnik/