Matthias Stosiek

Matthias Stosiek serves as a PhD Visitor (Faculty) in the Department of Applied Physics with a specialization in Computational Electronic Structure Theory. His research spans multiple disciplines at the intersection of materials science, machine learning, and quantum physics.

His primary research interests focus on applying machine learning techniques to materials science problems, particularly in biorefinery processes, lignin-carbohydrate complexes, and polymer actuators. He also maintains active research in condensed matter physics, specifically studying superconductivity and quantum phenomena in two-dimensional materials.

Stosiek's publication record shows a clear transition from fundamental physics research toward applied machine learning in materials science. His recent work (2022-2025) increasingly focuses on biorefinery applications and sustainable materials development, demonstrating a strategic shift toward addressing UN Sustainable Development Goals through computational approaches.

He is actively involved in the AI-4-LCC project (2021-2025), which focuses on Exploiting Lignin-Carbohydrate Complexes through Artificial Intelligence, demonstrating his commitment to interdisciplinary research that bridges computational methods with practical materials science applications.

His research has garnered significant attention, with multiple publications picked up by news outlets and widely shared on academic platforms like Mendeley and X (formerly Twitter), indicating strong community engagement with his work.