Going against the Grain: Atomistic Modeling of Grain Boundaries in Solid Electrolytes for Solid-State Batteries

Area of Science:

• Materials Science
• Computational Chemistry
• Electrochemistry

Background:

• Atomistic modeling is vital for developing solid electrolytes for solid-state batteries.
• Simulations of microstructural features like grain boundaries are crucial but underexplored.
• Grain boundaries significantly impact solid electrolyte performance.

Purpose of the Study:

• To illustrate fundamental grain boundary properties in solid electrolytes.
• To showcase how atomistic modeling can determine and manipulate these properties.
• To inspire future computational studies on grain boundaries.

Main Methods:

• Density functional theory (DFT) for electronic structure calculations.
• Molecular dynamics (MD) for simulating atomic motion and properties.
• Review of recent literature on atomistic simulations of grain boundaries.

Main Results:

• Atomistic modeling can reveal essential information about grain boundary behavior.
• Specific examples demonstrate the determination and manipulation of grain boundary properties.
• Understanding grain boundaries is key to improving ion transport.

Conclusions:

• Atomistic modeling is essential for understanding and optimizing solid electrolytes.
• Further computational studies on grain boundaries are needed.
• Addressing grain boundary effects can enhance solid-state battery performance, including ion conductivity and dendrite resistance.