Researchers are exploring the design and optimization of micromixers, with some studies focusing on the use of fractal obstacles and genetic algorithms, while others examine the performance of micromixers with baffles, rigid designs, and different optimization techniques. The investigations also involve various methods, including physics-informed neural networks and additive manufacturing technology. The goal of these studies appears to be improving the mixing performance and design of micromixers.