Helmholtz-Zentrum Dresden-Rossendorf
Machine Learning for Materials Design
Dr. Attila Cangi
Head Machine Learning for Materials Design
Phone
+49 3581 37523 52
a.cangi
hzdr.de
Links
CV / Lebenslauf
Department Website
Research Group Website (Personal)
ORCID: 0000-0001-9162-262X
Address
Building/Office
Conrad-Schiedt-Straße 20 - 02826 Görlitz
GRWerk1/228
Area of responsibility
- Application of machine learning in materials science and chemistry
- Scalable Machine-Learning for Electronic Structure Calculations of Material Properties
- Simulation of Magneto-Structural Phase Transitions in Materials
- First-Principles Simulations of Electronic Transport Properties
- Method development for describing electronic structure and dynamics using density functional methods
Career (education, degrees, important stations)
- Since 2020 Helmholtz-Zentrum Dresden-Rossendorf, Germany: Staff scientist (permanent), Head of department (acting)
- 2017 – 2020 Sandia National Laboratories, Albuquerque, USA: Staff Scientist (permanent)
- 2011 – 2017 Max Planck Institute of Microstructure Physics, Halle (Saale), Germany: Postdoctoral Researcher with E. K. U. Gross
- 2006 – 2011 University of California, Irvine, USA: Ph.D., Chemistry (Chemical and Materials Physics) with K. Burke
- 2005 – 2006 Rutgers, The State University of New Jersey, USA: M.Sc., Physics
The Machine Learning for Materials Design research group accelerates materials innovation through machine learning and computational modeling, with a focus on developing sustainable materials for a greener future. Our applications span energy storage devices, thermoelectrics, spintronics, neuromorphic devices, and advanced semiconductor modeling.
