MALA: macro objects with quantum precision

MALA (Materials Learning Algorithm) leverages AI to create quantum-accurate digital twins of materials on a mesoscale. MALA simulates the properties of materials comprising millions of atoms, enabling precise analysis of complex structures such as interfaces and transistors.

Offering all the capabilities of Density Functional Theory (DFT) on a larger scale, MALA surpasses it by being able to benchmark and learn from real-world data, ensuring accuracy and reliability.

MALA - the future of materials science, where quantum precision meets mesoscale production and innovation.