Validation: Theoretical models and simulations lack the necessary experimental validation, leading to uncertainties. Reproducibility: Inconsistent data makes it difficult to reproduce experiments, a cornerstone of scientific research. Innovation: Without reliable data, the development of new nanomaterials and applications is slowed down. Funding: Researchers may struggle to secure funding without empirical evidence to support their proposals.
