Big data can significantly enhance nanotechnology research by enabling more informed decision-making. For instance, by analyzing experimental data, researchers can identify the most promising nanomaterials for specific applications, such as drug delivery or energy storage. Predictive modeling can forecast the performance of nanodevices under various conditions, guiding the design process. Furthermore, data-driven approaches can uncover new insights into the fundamental properties of nanomaterials, potentially leading to groundbreaking discoveries.
