The development of personalized nanotechnology products typically involves several stages, including material design, simulation, and testing. Advanced techniques like atomic force microscopy and scanning electron microscopy are often used to study the properties and behavior of nanomaterials. Moreover, computational tools and machine learning algorithms are increasingly being utilized to predict the outcomes of various material combinations and configurations.
