Litcius/Paper detail

Machine learning-accelerated density functional theory optimization of PtPd-based high-entropy alloys for hydrogen evolution catalysis

Patcharaporn Khajondetchairit, Siriwimol Somdee, Tinnakorn Saelee, Annop Ektarawong, Björn Alling, Piyasan Praserthdam, Meena Rittiruam, Supareak Praserthdam

2025International Journal of Minerals Metallurgy and Materials5 citationsDOI

Topics & Concepts

Density functional theoryAdsorptionHydrogenCatalysisMaterials scienceBoosting (machine learning)Hydrogen fuelThermodynamicsEnergy (signal processing)Physical chemistryGradient boostingChemical engineeringHydrogen productionComputational chemistryComposite numberChemistryResponse surface methodologyElectrocatalysts for Energy ConversionHigh Entropy Alloys StudiesMachine Learning in Materials Science