Machine learning-based prediction of high-entropy alloys for hydrogen storage with optimized thermodynamic and kinetic parameters
Bashista Kumar Mahanta, Sanjeev Kumar, Sunil Pathak, Shailesh Kumar Singh
Topics & Concepts
Hydrogen storageHydrogenMaterials scienceProcess engineeringHydrogen fuelEnergy storageComputer scienceEnergy carrierAlloyKinetic energyHydrogen productionNanotechnologyComputer data storageArtificial neural networkEfficient energy useActivation energyEnergy (signal processing)Hydrogen economyEvolutionary algorithmSpecific energyEnvironmental scienceHigh Entropy Alloys StudiesHigh-Temperature Coating BehaviorsHydrogen Storage and Materials