Validation of computational data is a critical step to ensure its reliability and relevance. This is typically achieved by comparing computational results with experimental data. Parameters such as reaction energies, activation barriers, and product distributions obtained from computational studies are matched against experimental measurements to assess their accuracy. Additionally, sensitivity analysis and error estimation are often conducted to understand the robustness of the computational models.
