. 2021 May 10;6(20):13341–13364. doi: 10.1021/acsomega.1c01300

Table 2. Computational Cost of PSO Calculations as a Function of N_p for a Binary (c = 2) Mixture that can Exist in up to Phases^a.

N_p = 50	N_p = 100	N_p = 200	N_p = 400	N_p = 800
1.00	2.06	3.82	7.56	15.20

Each entry indicates the average time (averaged over 20 runs) it takes to perform a Gibbs-energy minimization for a given Inline graphic relative to the fastest case of N_p = 50 particles.

Table 2. Computational Cost of PSO Calculations as a Function of Np for a Binary (c = 2) Mixture that can Exist in up to Phasesa.

Table 2. Computational Cost of PSO Calculations as a Function of N_p for a Binary (c = 2) Mixture that can Exist in up to Phases^a.