The NOMAD Laboratory
Novel Materials Discovery at the FHI of the Max-Planck-Gesellschaft
and IRIS-Adlershof of the Humboldt-Universität zu Berlin
Learn More About Us
Events
Library @FHI
Infos & Services
Person
Daniel Speckhard
Member since 01/2019
Phone: +49 30 8413 4854
Room: T 1.04
Email: speckhard@fhi.mpg.de
RESEARCH TOPICS
- Machine learning for materials science data
- Estimating uncertainty in heterogeneous DFT data
- Statistical learning of material properties
- Improving normalizing and parsing of DFT data in NOMAD
METHODS
- SISSO, Decision Trees, Neural Networks
- All electron Density Functional Theory codes (FHI-AIMs, Exciting)
- Kibana, Elastic Search