Calculating the density of states of a material can provide valuable insights into its electronic, thermal and ion transport properties, especially conductivity, playing an important role in the development and optimization of novel compositions.

Optimizing electrolyte formulations is essential for the development of high-performance batteries. This use case explores how the QuantistryLab platform enables users to simulate and predict the viscosity of an electrolyte formulation.

The interaction of the lubricant components with metallic or oxidized surfaces plays a fundamental role in the formation of a protective film. Atomistic simulations provide in-depth insights into the adsorption of additives on the surfaces, their binding mode and binding strength.