Advancing microfluidic design with machine learning: a Bayesian optimization approach

• DOI: 10.1039/d4lc00872c
• Publication Date: 2025-01-31T13:58:51Z
• Authors: Ivana Kundacina; Ognjen Kundacina; Dragisa Miskovic; Vasa Radonic
• Keywords: Bayesian Optimization; Micromixer

The proposed Bayesian optimization-based approach enhances micromixer performance by optimizing geometric parameters, significantly reducing required number of simulations, and accelerating the design process compared to conventional methods.