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Conductivity Scaling Relationships for Nanostructured Block Copolymer/Ionic Liquid Membranes
Megan L Hoarfrost1, Rachel A Segalman1
1Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, California 94720, United States.
ACS Macro Letters
|May 24, 2022
Summary
Ionic conductivity in block copolymer/ionic liquid membranes is predictable using a combined model. This finding offers flexibility in designing highly conductive membranes for various applications.
Area of Science:
- Materials Science
- Polymer Chemistry
- Electrochemistry
Background:
- Optimizing block copolymer/ionic liquid membranes requires understanding conductivity relationships.
- Ionic conductivity is crucial for membrane performance in applications like batteries and fuel cells.
Purpose of the Study:
- To demonstrate the universality of scaling relationships for ionic conductivity.
- To establish a predictive model for ionic conductivity in block copolymer/ionic liquid membranes.
Main Methods:
- Compared conductivity of ionic liquid mixtures with two block copolymer types.
- Applied a combined model of percolation theory and the Vogel-Tamman-Fulcher (VTF) equation.
Main Results:
- A single expression accurately describes conductivity across different mixtures.
- Ionic conductivity is dominated by the ionic liquid volume fraction.
- The model successfully links composition, structure, temperature, and conductivity.
Conclusions:
- Universal scaling relationships govern ionic conductivity in these membranes.
- Percolation theory and VTF equation effectively model conductivity.
- High flexibility exists in designing conductive block copolymer/ionic liquid membranes.
