Our second hackathon aimed to refine the Materials Learning Algorithms (MALA) into a production-grade code, enabling efficient computations on both central processing units (CPU) and graphical processing units (GPU).

MLGREEN selected for Helmholtz AI funding
The project MLGREEN (Machine Learning Green Functions for Magnetic Materials and Spintronics) has been selected for funding by Helmholtz AI. MLGREEN explores how machine learning

