Computational methods, including machine learning and artificial intelligence, are transforming nanotechnology discovery. These techniques can predict material properties and behaviors before physical experiments, thus narrowing down the vast parameter space. They also help in optimizing experimental design and interpreting complex data sets more effectively.
