Yes, AI can play a crucial role in experimental design. By analyzing previous experimental data, AI can suggest optimal experimental conditions, reducing trial and error. This accelerates the research process and makes it more cost-effective. For example, AI algorithms can recommend the best synthesis routes for creating specific nanoparticles.
