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All-solid-state sodium batteries (ASSSBs) offer high energy and safety but face challenges. Integrating theoretical calculations with experiments accelerates the development of advanced ASSSBs for future energy storage solutions.

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Computational Chemistry

Background:

  • All-solid-state sodium batteries (ASSSBs) are promising alternatives to conventional batteries due to their high energy density, enhanced safety, and abundant sodium resources.
  • ASSSBs eliminate risks associated with liquid electrolytes and offer potential energy densities exceeding 300 Wh kg⁻¹ with anode-free designs, crucial for electric vehicles and smart grids.

Purpose of the Study:

  • To address critical challenges in ASSSB development, including low ionic conductivity, high interface impedance, and material instability.
  • To highlight the indispensable role of theoretical computational approaches, such as molecular dynamics and machine learning, in guiding material optimization and interface design.
  • To systematically review the integration of theoretical calculations and experimental findings for key ASSSB components and interfaces.

Main Methods:

  • Molecular dynamics simulations to investigate ion transport mechanisms and interfacial behavior.
  • First-principles calculations to predict material stability and interfacial properties.
  • Machine learning for accelerated screening of high-performance solid-state electrolytes (SSEs).

Main Results:

  • Theoretical methods provide critical insights into Na⁺ migration, interfacial impedance, and structural stability within ASSSBs.
  • Combined theoretical and experimental approaches are essential for optimizing SSEs, cathodes, anodes, and their interfaces.
  • Understanding interface compatibility, formation energies, and transport mechanisms is key to mitigating detrimental interfacial reactions.

Conclusions:

  • The integration of theoretical calculations and experimental validation is crucial for overcoming the multiscale complexities hindering ASSSB development.
  • Precise interface engineering and material optimization, guided by computational insights, are vital for realizing high-performance ASSSBs.
  • Future research should focus on synergistic approaches to accelerate the practical application of advanced ASSSB technology.