What are Some Real-World Applications of Multiple Regression in Nanotechnology?
Multiple regression has numerous real-world applications in nanotechnology, including:
Drug Delivery Systems: Predicting the release profile and efficiency of nanocarriers based on their composition and environmental conditions. Nanocomposites: Determining the optimal blend of materials to achieve desired mechanical and thermal properties. Sensor Development: Enhancing the sensitivity and selectivity of nanosensors by understanding the impact of different functionalization techniques.
