The Institute for Materials Data Science and Informatics (IAS-9) develops advanced Machine Learning (ML) & Artificial Intelligence (AI) methods tailored to challenges in the physical sciences and engineering. Our work bridges data-driven approaches with domain knowledge to push the boundaries of scientific discovery.
We are a multidisciplinary team of experts in ML and AI. Our group brings together ML engineers, AI researchers, data scientists, research software engineers, and domain scientists with a shared focus on scientific machine learning. Together, we develop and apply ML methods to tackle key challenges in the physical sciences and engineering: from accelerating simulations with surrogate models to extracting insights from complex imaging data, and building approaches that transfer across domains.
From high-throughput experiments to simulation pipelines, we address critical challenges in learning, data management, and reuse - embracing FAIR principles and "Data for AI" to advance sustainability and reproducibility in science.
Technologiezentrum am Europaplatz (TZA)
Dennewartstraße 25-27
52068 Aachen
The offices of IAS-9 are located on the first floor
of section D.
Forschungszentrum Jülich GmbH
Institute for Advanced Simulation
Materials Data Science and Informatics (IAS-9)
Technologiezentrum am Europaplatz
Dennewartstr 25-27
52068 Aachen
Prof. Dr. Stefan Sandfeld
Phone: +49 241/927803-11
E-Maill: s.sandfeld@fz-juelich.de
Nadine Filipovic
Melina Bolle
Phone: +49 241/927803-00
E-Mail: office.ias-9@fz-juelich.de
