Accelerating Cathode Design for Zinc-Ion Batteries Using Data-Driven Screening and Ab Initio Calculations

Q: What type of study is this?

This is a Data-Driven study (also classified as: Ab Initio Study).

F.O. Carvalho; O. Machado de Sousa; L. V. C. Assali; M. V. Lalic; C. Moysés Araújo; Olle Eriksson; Helena M. Petrilli; A. B. Klautau

doi:10.1039/d5ta02667a

January 1, 2025Journal of Materials Chemistry A

Accelerating Cathode Design for Zinc-Ion Batteries Using Data-Driven Screening and Ab Initio Calculations

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Key Points

Accelerating the design of cathodes enhances the performance of zinc-ion batteries.
Data-driven approaches enable faster screening of materials for optimal battery performance.
Ab initio calculations are utilized to predict the feasibility of new cathode designs.
Sustainable energy storage solutions may benefit significantly from improved zinc-ion battery technology.

Implication

Data-driven screening improves cathode materials for zinc-ion batteries, suggesting efficiency gains.

Abstract

The increasing demand for sustainable energy storage has driven significant interest in zinc-ion batteries (ZIBs) as a cost-effective and environmentally friendly alternative to lithium-ion batteries (LIBs). In this study, we...

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Cite This Study

Carvalho et al. (2025) studied this question.

synapsesocial.com/papers/68c1ae7f54b1d3bfb60e6f07 https://doi.org/10.1039/d5ta02667a

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Accelerating Cathode Design for Zinc-Ion Batteries Using Data-Driven Screening and Ab Initio Calculations

Key Points

Implication

Abstract

Discussion

Cite This Study

Accelerating Cathode Design for Zinc-Ion Batteries Using Data-Driven Screening and Ab Initio Calculations

Key Points

Implication

Abstract

Discussion

Cite This Study

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