Why are Kernel Functions Important in Nanotechnology?
In the realm of nanomaterials and nanoscale systems, data complexity can be enormous due to the intricate nature of atomic and molecular interactions. Kernel functions facilitate the analysis of this data by simplifying the representation and enabling more efficient computational techniques. They play a critical role in machine learning algorithms applied to nanotechnology research, such as support vector machines (SVMs) and principal component analysis (PCA).
