Automated Author Profile

Dr Jeremy Titman

Current S-Index

1.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.8

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

73.1%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Probing lithium diffusion in mechanochemically-synthesised ternary lithium halides LiAlX4 (X = Cl, Br and I) using muon spin spectroscopy.

In the current work, we study inorganic solid-state electrolytes for lithium-ion batteries. These materials, unlike the traditional liquid electrolytes, could lead to a breakthrough in battery lifetime and safety, since the use of flammable organic solvents is no longer needed. Our aim is to study the ways in which the ionic conductivity can be tuned and contribute to the understanding of the synthesis-structure-property relationships. We propose to perform MuonSR experiments on a series of LiAlX4 (X = Cl, Br, I) samples. Our interest is to asses the effect of both the mechanochemical synthesis and the varying polarizability of the anion framework (as a function of X). In order to obtain a definitive model of the crystal structure, we will also perform PND studies. These complementary studies will be of key importance to propose valid conduction mechanisms in our materials.

Authors

  • Professor Duncan Gregory ;
  • Dr Peter Baker ;
  • Mr Nicolas Andres Flores Gonzalez ;
  • Dr Jeremy Titman ;
  • Dr Sudeshna Sen
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5286/isis.e.rb18202932018