Conformational searches of 5 give 128 conformers. We generated a priority list with CONFPASS using the default setting (pipeline-mix, x = 0.8 and Q = 0.2) and re-optimized the first two structures of the conformers following the priority list. At ropt = 2/129, the LR model predicts further calculations are required. On our computer system, it is more convenient to reoptimize conformers in batches. Thus, the next 5% of the conformers from the priority list were sent for DFT re-optimizations. After incorporating the updated results, a new prediction is generated using the LR model. The above procedure is iterated until the %Conf of the newly generated prediction surpasses 80%. At ropt = 0.42 (ie 54/129), the %Conf exceeds 80%, indicating that the prediction of achieving the global minimal structure is highly probable. We also determined %Conf for ropt = 52/129 and ropt = 53/129 using p LR from the prediction. Both values are greater than 80%, suggesting that a reliable and consistent outcome has been achieved. The time required for DFT calculations can be reduced by running them in parallel or using cloud resources. This reduces the wall-clock time but not the computational resource requirement. CONFPASS make it possible to use the available computational resources more effectively. The black data points on the plots are known to the user at their wish after reoptimizing 40% of the conformers following the default CONFPASS priority list (pipeline-mix, x = 0.8 and Q = 0.2). The complete data table is presented in Table .