Symbolic regression of Li-ion electrolyte conductivity
This interactive plot illustrates the predicted conductivity of a Li-ion battery electrolyte as a function of formulation and temperature.
The predictions are based on a closed-form expression, found through a symbolic regression algorithm. The electrolyte consist of a
LiPF6 salt and PC/EC/EMC solvent mixture. Check out the Github page
for the code and examples, and the article pre-print for full details:
Flores, E. et al. Learning the laws of lithium-ion electrolyte transport using symbolic regression. ChemRxiv (2022). doi:10.26434/chemrxiv-2022-nmmd4
Move the slider to control the temperature and explore how conductivity changes in the PC ratio vs. LiPF6 concentration space.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957189.