FHI
The NOMAD Laboratory

Novel Materials Discovery at the FHI of the Max-Planck-Gesellschaft
and IRIS-Adlershof of the Humboldt-Universit├Ąt zu Berlin

Person

Daniel Speckhard

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

Show 1 Publications

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