A new multiscale computational method that is capable of predicting solute strengthening of alloys without adjustable parameters may lead to the development of new engineering materials. The computational prediction of materials properties is an increasingly powerful tool that in the ideal case can complement and replace experimental tests. In particular, multiscale modeling, which bridges materials properties from the atomic level to macroscopic length scales, is increasingly used in the modeling of systems including, for example, the electrostatics of large molecules, the precipitation and dynamics of clusters and the description of more complex metallic systems. However, what is still missing is the critical experimental technique to verify the details of their approach. However, there might be a limitation of using this technique for strain rates higher than the reference strain rate used in the study.