Litcius/Paper detail

Non-aqueous battery electrolytes: high-throughput experimentation and machine learning-aided optimization of ionic conductivity

Peng Yan, Mirko Fischer, Harrison Martin, Christian Wölke, Anand Narayanan Krishnamoorthy, Isidora Cekić-Lasković, Diddo Diddens, Martin Winter, Andreas Heuer

2024Journal of Materials Chemistry A12 citationsDOI

Abstract

We study the ionic conductivity of a bi-salt (LiPF 6 , LiFSI) and ternary solvent (EC, EMC, PC) liquid battery electrolyte with high throughput experimentation and the open source Liquid Electrolyte Composition Analysis (LECA) Machine-Learning library.

Topics & Concepts

ElectrolyteTernary operationIonic liquidBattery (electricity)Salt (chemistry)ConductivityThroughputSolventIonic conductivityAqueous solutionMaterials scienceChemical engineeringInorganic chemistryComputer scienceChemistryElectrodeOrganic chemistryEngineeringCatalysisTelecommunicationsThermodynamicsPhysicsPhysical chemistryProgramming languageWirelessPower (physics)Machine Learning in Materials ScienceAdvanced Battery Technologies ResearchAdvanced Battery Materials and Technologies
Non-aqueous battery electrolytes: high-throughput experimentation and machine learning-aided optimization of ionic conductivity | Litcius