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DFT study of nano zinc/copper voltaic cells
J Tillman Austin1, Jorge M Seminario2,3,4
1Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA.
Journal of Molecular Modeling
|March 25, 2018
Summary
Developing accurate computational methods is key for new battery materials. Density functional theory (DFT) procedures were tested, showing B3PW91/cc-pVTZ offers better accuracy for zinc/copper voltaic cells.
Area of Science:
- Computational Chemistry
- Materials Science
- Electrochemistry
Background:
- Developing novel battery materials requires accurate computational modeling.
- Ab initio full-electron computational techniques are essential for predicting material properties.
Purpose of the Study:
- To evaluate density functional theory (DFT) procedures for modeling battery materials.
- To determine the accuracy of DFT methods for calculating the energetics of a zinc/copper voltaic cell.
Main Methods:
- Testing DFT procedures including B3PW91 with different basis sets (6-31G(d) and cc-pVTZ).
- Calculating zero-point energy, dispersion, and counterpoise corrections.
- Comparing computational results with macroscopic experimental values.
Main Results:
- Dispersion and zero-point energy corrections were found to be in the range of 0.01-0.6 kcal/mol per atom/molecule.
- Counterpoise correction significantly impacted results at the B3PW91/6-31G(d) level but minimally at B3PW91/cc-pVTZ.
- B3PW91/cc-pVTZ showed smaller deviations (0.1-4.8 kcal/mol) from experimental values compared to B3PW91/6-31G(d) (0.1-7.1 kcal/mol).
Conclusions:
- The B3PW91/cc-pVTZ level of theory provides more accurate energetics for zinc/copper voltaic cells.
- The choice of basis set significantly influences the accuracy of DFT calculations for battery materials.
- Accurate computational techniques are crucial for advancing battery material discovery.
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