How is Machine Learning Applied in Nano-Fabrication?
In nano-fabrication, ML algorithms can optimize the design and manufacturing processes. For instance, [genetic algorithms]() can be used to optimize the parameters of [self-assembly]() processes, leading to better control over the formation of nanostructures. Additionally, ML models can predict the outcomes of [electron beam lithography]() and other nano-fabrication techniques, reducing trial-and-error and enhancing precision.
