1. Data Integration: Combining data from different sources and formats can be complex. 2. High Dimensionality: Nanotechnology data often involves many variables, making it difficult to analyze. 3. Computational Costs: Advanced simulations and machine learning require significant computational resources. 4. Accuracy and Precision: Ensuring that models and simulations are both accurate and precise is challenging but necessary.
