Using unseeded simulations, Panagiotopoulos and co-workers discovered that also in the case of NaCl nucleation from aqueous solution, the mechanism of nucleation depends on supersaturation. By employing largescale MD simulations and free energy calculations, they identified the limit of stability for aqueous NaCl solutions with respect to a liquid/amorphous phase separation (reported in Figure as a vertical dashed line). The dense amourphous salt clusters observed beyond the limit of solution stability act as intermediates in the crystallization of NaCl, where crystalline order emerges within these disordered clusters following a two-step nucleation pathway (see section 2). Nucleation rates in this region of the phase diagram were obtained by Jiang et al. by estimating Mean First Passage times (MFPTs) from brute force sampling of nucleating trajectories and by performing Umbrella Sampling simulations to estimate nucleation barriers. Lamas et al. corroborate these values of nucleation rates in the proximity of the limit of solution stability by constructing survival probability distributions from brute force simulations that yield nucleation rates within the same order of magnitude (see Figure ). An overview of both the MFPT and survival probability methods for the calculation of nucleation rates from brute force simulation is provided by Chkonia et al. .