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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

2025Journal of Energy Storage9 citationsDOI

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
Machine learning-based prediction of high-entropy alloys for hydrogen storage with optimized thermodynamic and kinetic parameters | Litcius