Tremendous advancements in nanotechnology have made the field increasingly data-intensive. Researchers are now using machine learning techniques to analyze complex datasets, predict material properties, and optimize experimental conditions. TensorFlow, with its powerful capabilities, is especially suitable for handling such tasks in nanotechnology.
