Big data analytics involve the examination of large and complex datasets to uncover hidden patterns, correlations, and other insights. In the context of nanotechnology, big data analytics can be applied to:
Analyze experimental data from millions of tests to identify the most promising nanomaterial candidates. Monitor the environmental impact of nanomaterials, helping to develop eco-friendly alternatives. Track the lifecycle and degradation of nanomaterials to understand their long-term effects and stability.
