(213a) Application of a Novel GPU Native CFD Solver to Examine and Optimize Micro-Mixing Devices for Nano-Lipid Production

Lipid nanoparticles (LNP) may be produced using mixing devices such as Combined Impinging Jet Mixers (CIJM) or many styles of microfluidic reactors. In all devices, optimal micromixing is key. Computational Fluid Dynamics (CFD) is an effective tool for study and optimization any mixing device. A next generation GPU native CFD code has been used to characterize micro-reactor performance for the production of LNPs. Reference geometry is presented with boundary conditions, physics models and methods, and computational grid convergence. Key results including mixing parameters such as velocity, strain rate, turbulence and species concentration are presented. Comparison to published lab results is included. Well validated CFD is an important first step to attaining an optimized production of properly sized, mono-disperse, well encapsulated LNPs.