Sunday, 03 September 2023

Time: 14:00 - 18:00 
Place: Seminargebäude
Moderators: Prof. Dr. Anika Groß, HS Anhalt and Dr.-Ing. Pedro Dolabella Portella, FhG-IWM

Digital transformation is crucial in achieving the goals of Industry 4.0. In the field of materials science and engineering, it is essential to develop digital design tools for innovative material solutions and digitally control the entire lifecycle of a component. In order to make the complete knowledge of materials available in a digital format, the materials community must develop reliable tools and standards to support digital transformation across different industrial branches. At every stage of the process, from raw materials to components and beyond, materials data are generated, applied, and transferred to the next step. Materials data are considered the key element to digital transformation in Materials Science and Engineering (MSE).

The complexity and diversity of materials present a significant challenge in establishing a unified digital materials data space. This data space must handle data from different materials-related knowledge areas, such as mechanics, physics, chemistry, and crystallography, over several orders of magnitude in length (from atoms to components) and time (from femtosecond atomic motion to years in application). The goal is to connect the different repositories of materials data, allowing direct communication between stakeholders such as materials producers, testing labs, designers, and end-users. It aims to create a unified ontological framework and working environment that includes different materials application domains. It follows the FAIR principles (Findable, Accessible, Interoperable, Reusable) to promote the semantic interoperability across the frontiers of materials classes.

Target group
This tutorial is designed for all members of the MSE community who are interested in developing basic fundamentals, digital tools, and standards for the new discipline of Materials Informatics. The tutorial covers knowledge of generating and handling materials data from experiments or simulation processes on the one hand and establishing semantic and architectural tools for interoperability on the other hand. In the final session, different aspects of applications as materials databases and knowledge dissemination will be discussed.

Program