However, as both methods use the reactant and product geometries to generate the TS, they will scale poorly with an increasing size of system. Furthermore, TSNet does not report activation barrier metrics, making it difficult to fully assess the value of its TS geometry predictions. While the mean activation barrier metrics reported for the OA-ReactDiff models are decreasing toward chemical accuracy, the best performing purely ML method remains significantly above the commonly accepted threshold of 1 kcal mol -1 (Figure ). These SE(3)-equivariant architectures are evidence of the progress being made in this area and highlight the performance yet to be achieved.