Automated optimization in the context of nanotechnology refers to the use of advanced computational techniques and algorithms to enhance the design, synthesis, and application of nanomaterials and nanodevices. This process leverages machine learning, artificial intelligence, and high-throughput experimentation to achieve optimal performance of nanoscale systems.
