Quantification of Coulomb interactions in layered lithium and sodium battery cathode materials
Source abstract
Abstract
Despite the importance of the electron correlation in the first-principles description of the Li-ion cathode materials, the Coulomb interaction parameter $U$ is often treated as an ad hoc value. In practice, one usually relies on empirical ways of parametric treatment of $U$ to optimally match the experimentally observed physical properties such as band gap or reaction energy. Here, using the constrained random phase approximation (cRPA) method, we self-consistently evaluate the Coulomb $U$ and Hund $J$ values for representative layered cathode materials including not only Li compounds but also Na compounds $\mathrm{Li}\mathrm{Co}{\mathrm{O}}2, \mathrm{Li}\mathrm{Ni}{\mathrm{O}}2, \mathrm{Li}\mathrm{Mn}{\mathrm{O}}2, \mathrm{Na}\mathrm{Co}{\mathrm{O}}2, \mathrm{Na}\mathrm{Ni}{\mathrm{O}}2$, and $\mathrm{NaMn}{\mathrm{O}}2$. We found that the Coulomb interaction parameters for Li and Na compounds and their polymorphs with different layer stacking types do not deviate much, which shows the dominant role of the local environment rather than of global structural features. We have analyzed the origin of variable Coulomb parameters, which is mainly due to the competition between the localization and screening. We provided cRPA Coulomb parameters for battery cathode materials and validate the values by observing systematic improvement in describing the experimentally observed average intercalation voltage and lattice parameters. These results can be applied for the first-principles calculations as well as model-based simulations for the theoretical investigation of cathode systems.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advancements in Battery Materials · X-ray Diffraction in Crystallography · Machine Learning in Materials Science
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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