data

We are happy to announce that the CRC1411 will receive fundings to continue its research for the next 4 years. After a successful first funding period under the guidance of Prof. Wolfgang Peukert, we will continue our activities with Prof. Nicolas Vogel as spokesperson, and Prof. Martin Hartmann wil...

The iPMT consortium consists of partners from industry and academia. The aim of the project is the development and validation of methods for the synthesis of training data for Deep Learning-based particle measurement techniques, exemplified by image-based methods for the detection of particles in (m...

As CSC, we provide a platform to promote your COVID-19 modelling and simulation activities and to get in contact with other researchers in the same field. Education and outreach is beside research of course of great importance and this is why we want to collect efforts related to scientific computin...

The main objectives of this sub-project of the CRC1411 Design of Particulate Products are the methodical management of research data generated by experiments, measurement methods, and simulations of the CRC1411 community. In addition to the design and implementation of object type dependent ontologi...

The main goals of this topic within CRC814 Additive Manufacturing are to implement an easy-to-use yet powerful tool for managing research data in mechanical engineering and materials science. Due to the large amount of research data in the areas of materials science, manufacturing, and simulation, t...

The Research Training Group GRK 2423 FRASCAL (Fracture across Scales: Integrating Mechanics, Materials Science, Mathematics, Chemistry, and Physics) started in January 2019 at the Friedrich-Alexander-University Erlangen-Nuremberg and comprises 12 PhD projects and one postdoctoral project. The aim...