Table 3 The set of Matminer featurizers to generate the numerical descriptors in MODNet

From: Machine learning on multiple topological materials datasets

Composition

Structure

Site

AtomicOrbitals

BondFractions

AGNIFingerprints

AtomicPackingEfficiency

ChemicalOrdering

AverageBondAngle

BandCenter

CoulombMatrix

AverageBondLength

ElectronegativityDiff

DensityFeatures

BondOrientationalParameter

ElementFraction

EwaldEnergy

ChemEnvSiteFingerprint

ElementProperty

GlobalSymmetryFeatures

CoordinationNumber

(“magpie” preset)

  

IonProperty

MaximumPackingEfficiency

CrystalNNFingerprint

Miedema

RadialDistributionFunction

GaussianSymmFunc

OxidationStates

SineCoulombMatrix

GeneralizedRadialDistributionFunction

Stoichiometry

StructuralHeterogeneity

LocalPropertyDifference

TMetalFraction

XRDPowderPattern

OPSiteFingerprint

ValenceOrbital

 

VoronoiFingerprint

YangSolidSolution

  
  1. They are used for algorithm MODNet and XGBoost.