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  5. The influence of ion-ion correlations on conductivity in concentrated ionic systems
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The influence of ion-ion correlations on conductivity in concentrated ionic systems

Date Issued
December 1, 2023
Author(s)
AHMED, MD DIPU  
Advisor(s)
Alexei P. Sokolov
Additional Advisor(s)
Mark Dadmun
Fred Heberle
Stephen Paddison
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/31310
Abstract

This study delves into the fascinating realm of concentrated ionic systems, such as ionic liquids, superionic materials, organic ionic plastic crystals, and polyelectrolytes, which hold immense potential for energy storage applications. The focus is on understanding the intricate role of ionic correlations in shaping their ionic conductivity behavior. These correlations can either boost or impede conductivity, yet their underlying mechanisms remain elusive. Through extensive investigation of various materials, including ionic liquids with differing anionic masses, pure organic ionic plastic crystals, and doped systems, this research employs advanced techniques like dielectric spectroscopy and innovative momentum conservation models to quantify these correlations. Additionally, the study explores the impact of Li+ doping on the conductivity of organic ionic plastic crystals, providing valuable insights into ways to enhance their conductivity. Ultimately, this research not only contributes to the development of high-conductivity electrolytes for innovative technologies like solid-state batteries but also advances our fundamental understanding of ion transport in concentrated ionic systems.

Subjects

Ion-ion Correlations

Conductivity

solid electrolyte

battery safety

doping effect

Disciplines
Analytical Chemistry
Chemistry
Materials Chemistry
Polymer Chemistry
Degree
Master of Science
Major
Chemistry
File(s)
Thumbnail Image
Name

Thesis_MS__Dipu_Ahmed_Oct_TRAC_3WS.docx

Size

19.35 MB

Format

Microsoft Word XML

Checksum (MD5)

67dbd4b31291b381f657b902d42e88a0

Thumbnail Image
Name

auto_convert.pdf

Size

3.09 MB

Format

Adobe PDF

Checksum (MD5)

d5674fc50322140b732e9168ee47ed78


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