SVMs have a broad range of applications in nanotechnology. Here are some key areas where SVMs make a significant impact:
Material Classification: SVMs can classify different types of nanomaterials based on their properties, such as electrical, optical, and mechanical characteristics. Drug Delivery Systems: In nanomedicine, SVMs help in predicting the effectiveness of nanoparticle-based drug delivery systems by analyzing various biological and chemical parameters. Nano-bio Interactions: SVMs can be used to predict the interactions between nanoparticles and biological systems, aiding in the design of safer and more effective nanomaterials. Sensor Development: SVMs assist in the development of nanosensors by classifying and predicting the behavior of sensor materials under different conditions.
