How is Linear Regression Applied in Nanotechnology Research?
Linear regression is applied in various ways within nanotechnology, such as:
Material Synthesis: Predicting the outcomes of synthetic processes by correlating reaction conditions with the yield or quality of nanoparticles. Characterization: Understanding the relationship between physical properties (e.g., size, shape, surface area) and functional properties (e.g., electrical, optical, mechanical) of nanomaterials. Drug Delivery: Modeling the release profiles of nanocarriers based on their physicochemical properties and environmental conditions.
