The future of patterning nanostructures lies in continued innovation and integration of various techniques. Emerging methods such as self-assembly and directed self-assembly are promising for creating complex structures with less effort and cost. Additionally, advances in machine learning and artificial intelligence could enable better control and optimization of patterning processes. As the demand for smaller, more powerful devices grows, the importance of efficient and precise patterning techniques will only increase.
