UW CMG Dilute Solute Diffusion Database Predicted from Machine Learning

For a DFT-calculated dilute solute diffusion database, click here.
Equation is D=D_{0 host, experimental} * e^{(-Q_solute/kT)} Where Q_solute = Q_{host, experimental} + dQ_{prediction method}
To use: select generation algorithm, then select which hosts/solutes this algorithm is to be applied to. Then press the Submit button to fill in the values necessary for graphing. After filling in, checking host-solute combinations will reveal the graph.
Robustness is given as "Low", "Medium", or "High", depending on how reliable the prediction is expected to be. Transition-metal solutes and previously-calculated hosts have higher robustness scores.