Regarding the different optimizers in CI-NEB
Posted: Wed Apr 01, 2015 7:59 am
Dear all,
I would like to use the CI-NEB method to obtain the activation barrier for a molecule dissociation.
From the converged CI-NEB calculation (2 images), the two images I obtained are rather similar to my reactant (image-01) and product (image-02). Thus, I could not obtain the saddle.
Before the CI-NEB calculation, I used EDIFF = 1E-05 and EDIFFG = -0.013 to relax my reactant and product structures.
Could this be due to the reduced convergence criteria in my CI-NEB INCAR (EDIFF = 1E-04 and EDIFFG = -0.02)?
I have attached the output files for reference.
Based on the previous post(s) in this forum, if I understand correctly, IOPT=3 and IOPT=7 are efficient for saddle identification, whereas IOPT=1 and IOPT=2 give more accurate representation of the MEP? For this reason, and also the limited computational resources, I used IOPT=7 in my calculation. However, using the same IOPT=7 optimizer, my other structures could not converge after some 900 NSW steps.
Thanks in advance.
I would like to use the CI-NEB method to obtain the activation barrier for a molecule dissociation.
From the converged CI-NEB calculation (2 images), the two images I obtained are rather similar to my reactant (image-01) and product (image-02). Thus, I could not obtain the saddle.
Before the CI-NEB calculation, I used EDIFF = 1E-05 and EDIFFG = -0.013 to relax my reactant and product structures.
Could this be due to the reduced convergence criteria in my CI-NEB INCAR (EDIFF = 1E-04 and EDIFFG = -0.02)?
I have attached the output files for reference.
Based on the previous post(s) in this forum, if I understand correctly, IOPT=3 and IOPT=7 are efficient for saddle identification, whereas IOPT=1 and IOPT=2 give more accurate representation of the MEP? For this reason, and also the limited computational resources, I used IOPT=7 in my calculation. However, using the same IOPT=7 optimizer, my other structures could not converge after some 900 NSW steps.
Thanks in advance.