In nanotechnology, neural networks can be employed in various ways to enhance research, development, and applications. Some key areas include:
Material Discovery: Neural networks can predict the properties of new nanomaterials, accelerating the discovery of materials with desired characteristics. Nanoparticle Synthesis: They can optimize the synthesis processes for nanoparticles, ensuring uniformity and specificity. Drug Delivery: Neural networks can design and optimize nanocarriers for targeted drug delivery, improving efficacy and reducing side effects. Nanoscale Imaging: They can enhance the resolution and accuracy of nanoscale imaging techniques, providing better insights into nanostructures. Sensor Development: Neural networks can improve the sensitivity and selectivity of nanosensors, enabling better detection of biological and chemical substances.
