Low temperatures pose a significant challenge for lithium-ion batteries, slowing electrolyte diffusion and reducing ionic mobility. This bottleneck impacts battery performance, limiting energy capacity, power output, and cycling stability in applications such as electric vehicles and energy storage.

With QuantistryLab, researchers can accurately simulate diffusion processes in electrolyte formulations under various conditions. By modeling atomic-scale interactions through chemical simulations powered by computational methods, including quantum chemistry, molecular dynamics, and AI-based tools, the platform provides deep insights into how temperature, viscosity, and molecular interactions affect ion transport and overall battery optimization.

In this use case featuring LP57 electrolyte, QuantistryLab successfully predicted diffusion coefficients at -20°C and 25°C, closely aligning with previously reported data. The results confirmed that as temperature drops, electrolyte viscosity increases, slowing ion diffusion and reducing charge transport efficiency.

Beyond diffusion studies, QuantistryLab offers powerful simulation tools for analyzing electrolyte viscosity, electrolyte decomposition, and electrolyte aging, accelerating battery R&D by cutting costs and streamlining material innovation.

Want to optimize battery performance across a diverse range of conditions? Discover how QuantistryLab is transforming electrolyte R&D.