Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Latent state estimations for experimental data with no stressors. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 18. by Samiul Alam (18563323)

Latent state estimations for experimental data with time limit. by Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 22. by Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 17. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 13. by Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 3. by Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 17. by Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 15. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 7. by Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 13. by Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 1. by Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 16. by Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 20. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 15. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 21. by Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 5. by Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 19. by Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 8. by Samiul Alam (18563323)