ServiceUpdated on 11 June 2024
MALA: macro objects with quantum precision
innovation manager at HZDR – Helmholtz-Zentrum Dresden-Rossendorf
Dresden, Germany
About
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.
Type
- Development
- Consulting
Applies to
- Microtechnology
- Electronic
- Semiconductor Industry
- Renewable Energy
Attached files
Organisation
Similar opportunities
Expertise
Five years expertise in Quantum Materials research
- Electronics
- Nano- and Microtechnologies
Anna Birk Hellenes
Research Associate at Johannes Gutenberg University Mainz, INSPIRE group
Mainz, Germany
Service
- Others
- Business Development
- Semiconductor Industry
Jeroen Haex
Regional key account manager, Semiconductor business development at DSV Air & Sea
Eindhoven, Netherlands
Service
- ICT
- Aerospace
- Consulting
- Electronic
- Smart city
- Smart grid
- Development
- Rail / Automotive
Ruedi Klein
Managing Partner at Teleconnect GmbH
Dresden, Germany