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Accessing slow diffusion in solids by employing metadynamics simulation.

Krishnanjan Pramanik1, Sangkha Borah, P Padma Kumar

  • 1Indian Institute of Technology, Guwahati, India. padmakumarp@iitg.ac.in.

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|October 6, 2020
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Summary
This summary is machine-generated.

Metadynamics (MTD) simulations accelerate atomistic studies of slow diffusion in solids. This method reveals microscopic ion transport mechanisms in NASICON materials within practical computational limits.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Solid-State Physics

Background:

  • Molecular dynamics (MD) simulations are vital for studying atomic and molecular transport in condensed matter.
  • Standard MD struggles with systems exhibiting slow atomic diffusion, limiting investigations on feasible timescales.

Purpose of the Study:

  • To demonstrate the efficacy of metadynamics (MTD) for accessing slow atomic transport mechanisms in solids.
  • To investigate the microscopic mechanisms of Na+ diffusion in NASICON solid solutions (NaZr2(PO4)3 and Na4Zr2(SiO4)3).

Main Methods:

  • Utilized metadynamics (MTD), an advanced simulation technique, to overcome timescale limitations in atomistic simulations.
  • Performed calculations on NaZr2(PO4)3 and Na4Zr2(SiO4)3, key NASICON materials.
  • Compared MTD results with climbing image nudged elastic band (CI-NEB) calculations and experimental data.

Main Results:

  • Successfully accessed and analyzed the microscopic mechanism of slow Na+ diffusion in NASICON materials.
  • Provided new insights into correlated ion hopping events and their impact on the effective diffusion barrier.
  • Achieved results within reasonable computational timeframes, overcoming standard MD limitations.

Conclusions:

  • Metadynamics (MTD) is a powerful and efficient technique for studying slow atomic diffusion in solids.
  • The study elucidates Na+ transport mechanisms in NASICON, offering valuable data for materials development.
  • The findings validate MTD's capability to complement traditional methods like CI-NEB and experimental observations.