Journal of Materials Chemistry A · 2019 · 76 citations · 80 references
Natural SciencesChemical EngineeringMaterials ScienceComputational ChemistryComputational Materials ScienceMachine LearningAlloysAtomistic ModelingHigh-throughput Materials ScreeningMaterial ModelingAlloy DiscoveryMachine Learning Potential Energy SurfacesMaterial Performance PredictionMaterials Property Prediction
The advent of machine learning (ML) techniques in solving problems related to materials science and chemical engineering is driving expectations to give faster predictions of material properties.
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Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text
Greedy function approximation: A gradient boosting machine.
Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text