For 17 predicted LoFi points, the curve is virtually identical to the PEF obtained from the original scan with 24 points. The detailed effects of predicting one next point after the other are given in the SI. Using the predicted points instead of the evenly-spaced grid corresponds to a saving in computational time of 29%. This number is expected to grow when turning to coupled HR in multiple dimensions. When treating a number of M coupled rotors similar to this 1DHR with 24 scan points, an evenly-spaced grid required 24 M calculations, which already for low M becomes prohibitive. If the number of calculations can be similarly reduced from 24 to 17 for all dimensions, the computational saving will become substantially larger: for instance, in a space of five coupled HRs, a reduction from 24 to 17 saves 82% of calculations. Using Bayesian prediction in the coupled space might lead to computational saving even beyond this number because it does not require an evenly-spaced grid. Instead, the optimal coordinate placement in all dimensions can be figured out for each further calculation. This potential needs to be explored in further studies.