Publications by authors named "Amir Haghipour"

To develop energy-storage devices, understanding their charge-discharge behaviors and their underlying mechanisms is mandatory. Memory effect (ME) is among the most important behaviors that should be understood, influencing the batteries' applications. In this paper, the intercalation batteries' ME and their features are justified and explained by employing the particles' bipolarization mechanism.

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This paper suggests that cell voltage and reaction energy can be estimated using the difference between the Fermi energies of the products and reactants. DFT calculations for important Li-ion cathode case studies show that the Fermi approach is adequate. The GGA method makes better approximations than the GGA+ and internal energy approaches.

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