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The modified cluster-site approximation (CSA) model has been used to model the f.c.c.
We're in direct contact with members, who've been demonstrating their understanding and commitment to the CSA model and the farm.
The pair exchange energies of the Ni Ir and Al Ir systems in the CSA model were obtained from FP calculated enthalpies of formation, while those for the Ni Al binary were adopted from previous work.
By using the modified CSA model, we have been able to obtain an improved phenomenological description of this system with the use of fewer model parameters than used in previous descriptions.
The cluster/site approximation (CSA) model was employed to model the phases in the fcc family: ordered L12, L10 and disordered A1 (they are also referred to as the three states of fcc phase).
The CSA model has the advantage over the cluster variation method (CVM) in that the independent variables in the free energy functional are the site probabilities and not the cluster probabilities.
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However, the predictions of CSA-LSSVM model are better than GEP and Hybrid-ANFIS models.
Moreover, comparative studies between the CSA-LSSVM model and fourteen empirical correlations were done.
The proposed algorithm included 4756 datasets to validate the effectiveness of the CSA-LSSVM model using statistical criteria.
The statistical and graphical error analyses vividly demonstrate the supremacy and robustness of the developed CSA-LSSVM model, particularly compared to the conventional SRK and PR equations of state.
Obtained results illustrated that the "two-parameter" CSA-LSSVM model is more robust, reliable, and consistent than the existing correlations for the prediction of pure and natural gas viscosity.
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