Electrolyte viscosity plays a crucial role in battery performance, directly influencing ion mobility, charge efficiency, and overall energy output in lithium-ion batteries. Higher viscosity impedes ion transport, reducing efficiency, making viscosity simulations essential for electrolyte formulation optimization. Traditional experimental measurements can be time-consuming, particularly when testing numerous electrolyte formulations for battery R&D and high-performance batteries.  

With QuantistryLab, users can predict electrolyte viscosity using molecular dynamics, streamlining the selection of optimal solvent compositions. This use case focuses on modeling a well-known electrolyte formulation containing ethylene carbonate, dimethyl carbonate, and lithium hexafluorophosphate, demonstrating how computational simulations provide accurate, reliable viscosity predictions that align with experimental data.

By leveraging QuantistryLab's simulation tools, researchers can accelerate the development of next-generation battery materials, improving energy storage efficiency while reducing costs and lab testing time.

How can viscosity simulations drive the next breakthrough in battery R&D?