Learning the laws of lithium-ion transport in electrolytes using symbolic regression
Eibar Flores, Christian Wölke, Peng Yan, Martin Winter, Tejs Vegge, Isidora Cekić-Lasković, Arghya Bhowmik
Abstract
Machine learning to discover equations: we train a symbolic regression model on high-throughput experimental data and find an explainable, simple and accurate analytical expression predicting the ionic conductivity of a Li-ion battery electrolyte.
Topics & Concepts
Lithium (medication)ElectrolyteIonRegressionRegression analysisLawChemistryStatisticsMathematicsPolitical sciencePsychologyPhysical chemistryElectrodePsychiatryOrganic chemistryAdvanced Battery Technologies ResearchAdvancements in Battery MaterialsAdvanced Battery Materials and Technologies