Material Innovation: In silico modelling and AI-support during formula-design

The intersection of material innovation, cybersecurity, and in silico modeling is explored. Companies such as Evonik and BASF prioritize information security due to the high confidentiality required when creating innovative materials for clients like Porsche and Audi. This confidentiality poses challenges for data sharing and AI application, which are essential for learning and innovation.

Dr. Loeprecht delves into how new technologies, such as AI and in silico modeling, guide material development, preventing inefficiencies similar to the video game “Lemmings.” Every industry, from automotive to pharmaceuticals, relies on advanced materials, and material innovation is crucial for enhancing product performance and sustainability. By integrating AI and machine learning into the material development process, this approach aims to reduce waste, shorten development cycles, and produce better, more sustainable products. This democratizes advanced technologies, making them accessible to researchers and fostering a more efficient and sustainable innovation process.