Re: MD step update and mixing weight; specification or problem? ( No.1 ) |
- Date: 2017/08/01 23:11
- Name: T. Ozaki
- Hi,
During MD, the initial charge density at each MD step is obtained by extrapolation using charge densities at previous steps. So, in many cases the estimated charge density can be a good approximation for the converged one, and we expect that convergence can be obtained even using a large mixing weight. That's why Mixing_weight is set to the maximum weight.
However, as you worry, such a treatment may cause charge sloshing problem again for some cases. For such cases it might be better to use a relatively smaller scf.Max.Mixing.Weight.
If you do not want such a behavior, you only have to comment out the following line of 905 in DFT.c:
if (MD_iter!=1) Mixing_weight = Max_Mixing_weight;
If you do that, Mixing_weight is not set to Max_Mixing_weight.
Regards,
TO
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Re: MD step update and mixing weight; specification or problem? ( No.2 ) |
- Date: 2017/08/02 12:33
- Name: Asako Terasawa
- Hello,
Thank you for your very helpful answer. Now I and one of colleague are trying both suggestions and checking the behavior of NormRD and mixing_weight, because we are treating systems which easily diverge. I will let you know again if I get any suggestive results.
Regards, AT
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Re: MD step update and mixing weight; specification or problem? ( No.3 ) |
- Date: 2017/08/31 13:49
- Name: Asako Terasawa
- Hello,
After your suggestion, I examined the behavior of convergence with changing the mixing weight at MD update. The detail of the calculation is presented in the pdf: https://drive.google.com/file/d/0B9Pee7G-vll_T09BV2o3MjI0ODg/view?usp=sharing (I will delete it sooner or later)
It seems that the changing of the mixing weight doesn't have an effect on the instability of SCF convergence and so far I don't know the reason for such a behavior, whether it comes from the mixing, the extrapolation or the calculated system itself. But I want to note here is that, there is a case that SCF convergence at the previous time step does not necessarily mean that the convergence at the next step is stable. Therefore, for future release (or some other options), we wish to have some alternative option for determination of mixing parameters at MD update.
Or alternatively, any suggestion will be appreciated that indicates the inappropriateness of the parameter setting or reasonableness of the behavior of NormRD, or anything else.
Best regards, AT
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Re: MD step update and mixing weight; specification or problem? ( No.4 ) |
- Date: 2017/08/31 14:04
- Name: Asako Terasawa
- Sorry, I forgot to write a somewhat important information in the pdf.
In each figure, graphs are aligned in the following order: (1) (2) (3) (4) (5) (6) and this means that the NormRD convergence is shown for each time step in order.
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Re: MD step update and mixing weight; specification or problem? ( No.5 ) |
- Date: 2017/09/07 17:01
- Name: T. Ozaki
- Hi,
As long as I understood from your data, the instability appears for cases with electric field. Is your system an isolated or slab model? If your system is bulk, the use of scf.Electric.Field is not justified theoretically. Even if the system is an isolated or slab model, the unit cell has to be large enough so that the discontinuity in the sawtooth potential can be far from the system. Otherwise the charge will be trapped at the dip in the sawtooth potential, which may cause such an instability in the SCF process.
Regards,
TO
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