Litcius/Paper detail

Machine learning to explore high-entropy alloys with desired enthalpy for room-temperature hydrogen storage: Prediction of density functional theory and experimental data

Shivam Dangwal, Yuji Ikeda, Blazej Grabowski, Kaveh Edalati

2024Chemical Engineering Journal71 citationsDOIOpen Access PDF

Topics & Concepts

EnthalpyHydrogen storageDensity functional theoryThermodynamicsHydrogenEntropy (arrow of time)Experimental dataMaterials scienceChemistryComputer sciencePhysicsComputational chemistryMathematicsStatisticsOrganic chemistryHydrogen Storage and MaterialsMachine Learning in Materials ScienceCatalytic Processes in Materials Science
Machine learning to explore high-entropy alloys with desired enthalpy for room-temperature hydrogen storage: Prediction of density functional theory and experimental data | Litcius