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Mesoscale Complexations in Lithium Electrodeposition.

Feng Hao1, Ankit Verma1, Partha P Mukherjee1

  • 1School of Mechanical Engineering , Purdue University , West Lafayette , Indiana 47907 , United States.

ACS Applied Materials & Interfaces
|July 20, 2018
PubMed
Summary
This summary is machine-generated.

Understanding lithium electrodeposition is key for lithium metal anodes. This study reveals how reaction rates, ion transport, and surface diffusion govern lithium deposition morphology, enabling prediction and control.

Keywords:
Damkohler numberelectrochemical reaction rateelectrodeposition morphologyelectrolyte diffusion rateself-diffusion rate

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Surface Science

Background:

  • Lithium metal anodes are crucial for next-generation batteries, but their performance is limited by lithium electrodeposition and morphology evolution.
  • A deep mechanistic understanding is needed to control lithium deposition and prevent dendrite formation.

Purpose of the Study:

  • To elucidate the key factors governing lithium electrodeposition morphology.
  • To establish a predictive framework for controlling lithium deposition behavior on anode surfaces.

Main Methods:

  • Analysis of mesoscale complexations involving electrochemical reaction, lithium surface self-diffusion, and ion transport.
  • Investigation of the influence of reaction rates, diffusion barriers, and ion mobility.
  • Characterization of substrate surface roughness effects.
  • Development of a nondimensional electrochemical Damkohler number.

Main Results:

  • Lithium-ion depletion at high reaction rates promotes dendritic growth.
  • High lithium self-diffusion barriers favor porous film formation at low reaction rates.
  • Enhanced electrolyte ion transport leads to homogeneous deposition.
  • Substrate surface roughness influences dendritic growth localization.

Conclusions:

  • Lithium deposition morphology is a complex interplay of reaction kinetics, mass transport, and surface properties.
  • The proposed electrochemical Damkohler number provides a tool for mapping and predicting lithium electrodeposition morphology.
  • This work offers insights for designing stable and efficient lithium metal anodes.