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MPDS

Materials Platform
for Data Science

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We present machine-learning predictions (random forest regression) for the less known phases. Our implementation is opened and freely available. Check out any other crystalline structure or run the materials design.

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  • by occurence
  • by atomic number
  • by periodic number
  • by atomic size
  • by atomic reactivity
  • by pseudopotential radii
  • by ionic radii
  • by covalent radii
  • by metallic radii
  • by melting temperature
  • by electronegativity
Sorting
  • by atomic number
  • by periodic number
  • by atomic size
  • by atomic reactivity
  • by pseudopotential radii
  • by ionic radii
  • by covalent radii
  • by metallic radii
  • by melting temperature
  • by electronegativity
Display terms
  • physical properties
  • polyhedral types
  • crystal systems
  • publications
Customize axes
  • periodic number
  • atomic size
  • atomic reactivity
  • pseudopotential radii
  • ionic radii
  • covalent radii
  • metallic radii
  • melting temperature
  • electronegativity
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* numerical values (in SI units)