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Related Concept Videos

Molecular and Ionic Solids02:54

Molecular and Ionic Solids

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Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...
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Related Experiment Video

Updated: Dec 27, 2025

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
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Shaping the Future of Solid-State Electrolytes through Computational Modeling.

Ardeshir Baktash1, James C Reid1, Qinghong Yuan1,2

  • 1Centre for Theoretical and Computational Molecular Science, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, 4072, Australia.

Advanced Materials (Deerfield Beach, Fla.)
|March 7, 2020
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Summary
This summary is machine-generated.

Computational modeling advances solid-state electrolytes (SSEs) for better all-solid-state batteries. Research focuses on ion diffusion, stability, and electrode interfaces for improved battery performance and safety.

Keywords:
all-solid-state batteriescomputer simulationselectrolyte/electrode interfacesionic conductivitysolid-state electrolytes

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Computational Chemistry

Background:

  • Solid-state electrolytes (SSEs) are crucial for developing safer and more efficient all-solid-state batteries.
  • Key challenges include achieving high ion diffusivity, maintaining chemical and phase stability, and ensuring a wide electrochemical stability window.
  • Understanding SSE properties and interfaces is vital for battery performance.

Purpose of the Study:

  • To outline advances in computational research for understanding and improving SSEs.
  • To discuss the role of molecular simulations and modeling in addressing SSE development challenges.
  • To provide an outlook on the future of modeling in solid-state battery technology.

Main Methods:

  • Literature review of recent computational research on SSEs.
  • Analysis of molecular simulation and modeling techniques applied to SSEs.
  • Highlighting methods and issues in recent years of SSE research.

Main Results:

  • Computational modeling provides insights into ion diffusion mechanisms and SSE properties.
  • Simulations aid in understanding SSE-electrode interfaces, a critical factor in battery performance.
  • Recent modeling efforts have addressed stability and electrochemical window limitations.

Conclusions:

  • Molecular simulations and modeling are essential tools for accelerating SSE development.
  • Continued advancements in computational methods will drive progress in solid-state battery technology.
  • Addressing ion transport and interfacial phenomena through modeling is key to next-generation batteries.