The journal welcomes contributions that present high-quality experiments with particular attention to the reproducibility of the results. The papers must have a detailed and complete description of the experimental set-up and should include dispersion or uncertainty assessment information. They should also be completed with the datasets of the presented results in standard editable format.

Papers that focus on validation must involve assessment of computational models through comparison to experiments and should be accompanied by relevant measures of uncertainty from both sources. These papers should also include code verification, i.e. the assurance that code outputs converge to analytical solutions, particularly in terms of the rate of reduction of discretization errors.