Understanding the interactions between lithium polysulfides and anchoring materials in advanced lithium-sulfur...

Area of Science:

• Materials Science
• Electrochemistry
• Computational Chemistry

Background:

• Lithium-sulfur batteries (LSBs) offer high theoretical capacity but suffer from the lithium polysulfide (LiPSs) shuttle effect, limiting commercial viability.
• Effective anchoring materials are crucial for suppressing the shuttle effect by trapping LiPSs intermediates.

Purpose of the Study:

• To review computational and theoretical studies on LiPSs anchoring materials for LSBs.
• To elucidate adsorption mechanisms, interaction types, and binding energies of LiPSs on various materials.
• To explore the potential of descriptors and machine learning for predicting material performance.

Main Methods:

• Quantum chemical computations to analyze LiPSs interactions.
• Characterization of adsorption mechanisms and binding energies.
• Review of computational and theoretical work in the field.

Main Results:

• Detailed understanding of LiPSs adsorption mechanisms and dominant interactions.
• Summarized binding energies of LiPSs on different anchoring materials.
• Demonstrated potential of descriptors and machine learning for predicting adsorption properties.

Conclusions:

• Computational methods are vital for understanding LiPSs behavior in LSBs.
• Quantum chemistry and machine learning offer powerful tools for rational design of advanced LSBs.
• These approaches are indispensable for future LSB development and optimization.