The efficiency of carbon capture solutions depends on optimizing key properties like viscosity, which affects chemical absorption speed and energy consumption. Traditional water-based amine absorbents present challenges such as high energy costs, corrosion, and thermal degradation, prompting research into non-aqueous solvent mixtures as alternatives.

QuantistryLab enables users to model and predict viscosity using molecular dynamics, streamlining the selection of optimal solvent mixtures for carbon capture applications. This use case focused on polyethylene glycol ethers, which have shown promise in solvent optimization by enhancing carbon capture efficiency while minimizing volatility. By leveraging QuantistryLab's simulation-driven insights, users can accelerate the development of next-generation carbon capture technologies.

How can viscosity simulations optimize carbon capture efficiency?