Computational Auxiliary for the Progress of Sodium-Ion Solid-State Electrolytes.

Area of Science:

• Materials Science
• Electrochemistry
• Computational Chemistry

Background:

• All-solid-state sodium batteries (ASSBs) offer enhanced safety and high energy density.
• A critical challenge for ASSBs is the development of stable, superionic solid-state electrolytes (SEs).
• Understanding ion transport and electrochemical properties at the atomic level is crucial for designing high-performance SEs.

Purpose of the Study:

• To review advanced computational methods for understanding sodium-ion conductors.
• To explore ion migration mechanisms in solid-state electrolytes (SEs).
• To highlight recent progress in solid sodium-ion conductors for ASSBs.

Main Methods:

• Focus on advanced computational techniques.
• Analysis of ion migration mechanisms.
• Review of experimental progress in solid sodium-ion conductors.

Main Results:

• Computational tools offer a powerful approach to discover and design functional SE materials.
• Overview of state-of-the-art solid sodium-ion conductors: Na-β-alumina, sulfide-type, NASICON-type, and antiperovskite-type.
• Demonstration of the synergy between computational studies and experimental findings.

Conclusions:

• Computational studies are vital for accelerating the development of high-performance SEs for ASSBs.
• Complementarity of computational and experimental approaches is key to progress.
• Future opportunities lie in further refining computational models and exploring novel SE materials.