Matthias Scheffler

Hybrid DFT methods enhance accuracy and efficiency for studying complex systems in chemistry.

Examining how temperature affects charge transport in perovskite materials for enhanced technology performance.

This research investigates the impact of system size on electronic properties using advanced methods.

Researchers enhance machine-learning models for better predictions of complex materials.

Discover how temperature affects the movement of electrons in materials.

AI techniques aid in discovering acid-stable materials for clean hydrogen production.