remake dopedxpy-sc-fermi

[alexsquires]

• rename bulk_vasprun, not clear that this needs to be for a high quality dos
• use _format_defect_name() in examples (is this still a private function? If it's externally useful, should it be changed?).
• remove ..._and_save() from FermiSolver methods
• defect_levels argument when annealing becomes a boolean
• docstrings
• multiprocessings
• tests
• suppress noisy warnings
• tutorials
• grid-searching
• effective dopant response
• "exceptions" for FermiSolverPyScFermi

[kavanase]

Looking good @alexsquires. I like the mix-in/abstract class approach.

The _interpolate_chempots() function is quite nice, and I think will likely be one of the mostly-used features from these additions. From what we were discussing before in the #doped Slack, would it be possible to also integrate a grid-scanning approach too? As in, the current function linearly interpolates between two points (chem pot limits), which is nice and v useful in many cases, but if for instance we have a 3D chemical potential space, our min/max of the property of interest could also lie somewhere in the middle of this space, rather than along any linear path between two vertices/limits.

Ofc the user could iterate over all possible vertex/limit combinations if they knew what they were doing, which would be a good stab at this and get you most of the way there I imagine (kind of like a 'band structure path' approach), but still is only covering certain 'high-symmetry' paths in chem pot space. So if a grid approach was also possible (where e.g. the user can just set the chempot spacing in eV, or total number of grid points), that would also be v nice I think – should be doable with some of the scipy grid space interpolation functions I think? And/or pymatgen chemical potential diagram methods maybe?
If it was possible to implement relatively painlessly, could we add these two options? ☝️ 🙏

Sorry to be piling on the requests, but I guess the other main use case I'd imagine for this part of the code would be for the more complex defect thermodynamics analysis that py-sc-fermi allows, where you want to fix certain defect/species etc concentrations and perform some constrained solutions. Is it possible to integrate this to the fermi_solver code?

Also just fyi, about your earlier _format_defect_name() question, yes it is actually quite externally useful and I'll make it a public function in the next (minor) release.

[alexsquires]

Yeah, dw this is all on the list, should be ready to go by the end of the week, I sort of trashed everything to start again (for about the 6th time now), and just adding everything back in piecewise to make sure it's all consistent with the latest thermodynamics object.

…

On Thu, 15 Feb 2024 at 04:58, Seán Kavanagh ***@***.***> wrote: Looking good @alexsquires <https://github.com/alexsquires>. I like the mix-in/abstract class approach. The _interpolate_chempots() function is quite nice, and I think will likely be one of the mostly-used features from these additions. From what we were discussing before in the #doped Slack, would it be possible to also integrate a grid-scanning approach too? As in, the current function linearly interpolates between two points (chem pot limits), which is nice and v useful in many cases, but if for instance we have a 3D chemical potential space, our min/max of the property of interest could also lie somewhere in the middle of this space, rather than along any linear path between two vertices/limits. Ofc the user could iterate over all possible vertex/limit combinations if they knew what they were doing, which would be a good stab at this and get you most of the way there I imagine (kind of like a 'band structure path' approach), but still is only covering certain 'high-symmetry' paths in chem pot space. So if a grid approach was also possible (where e.g. the user can just set the chempot spacing in eV, or total number of grid points), that would also be v nice I think – should be doable with some of the scipy grid space interpolation functions I think? And/or pymatgen chemical potential diagram methods maybe? If it was possible to implement relatively painlessly, could we add these two options? ☝️ 🙏 Sorry to be piling on the requests, but I guess the other main use case I'd imagine for this part of the code would be for the more complex defect thermodynamics analysis that py-sc-fermi allows, where you want to fix certain defect/species etc concentrations and perform some constrained solutions. Is it possible to integrate this to the fermi_solver code? Also just fyi, about your earlier _format_defect_name() question, yes it is actually quite externally useful and I'll make it a public function in the next (minor) release. — Reply to this email directly, view it on GitHub <#46 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AFMK74XGZEUFF3TPF7MZHH3YTXZ5JAVCNFSM6AAAAABBVDPFSSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSNBVHE2TIMRVHE> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[alexsquires]

@adair-nicolson , could you re-parse your Cu2SiSe3 data now that everything is relatively final and I can add the grid searching stuff back in?

[alexsquires]

@kavanase proposing this as the full functionality - do you want to take a look at the example ipynb while I finish off the tests before I get to comfortable?

[kavanase]

@alexsquires, I was looking again at the current code in this PR (hopefully nearly ready to go 🤞) as I'm currently trying to use it in some of my work (on selenium defects). I was hoping to use the py-sc-fermi use case where one can set a fixed concentration of a defect/impurity species, and solving with this constraint, but I think this is not implemented as far as I can tell?

I checked back and this was mentioned way back at the start of this PR, and the effective_dopant_concentration option was then added, but I think this other functionality wasn't?

Sorry to be piling on the requests, but I guess the other main use case I'd imagine for this part of the code would be for the more complex defect thermodynamics analysis that py-sc-fermi allows, where you want to fix certain defect/species etc concentrations and perform some constrained solutions. Is it possible to integrate this to the fermi_solver code?

Just checking I'm not missing something / avoiding redundant work. I can add this to the code if it's not there.

[alexsquires]

@alexsquires, I was looking again at the current code in this PR (hopefully nearly ready to go 🤞) as I'm currently trying to use it in some of my work (on selenium defects). I was hoping to use the py-sc-fermi use case where one can set a fixed concentration of a defect/impurity species, and solving with this constraint, but I think this is not implemented as far as I can tell?

I checked back and this was mentioned way back at the start of this PR, and the effective_dopant_concentration option was then added, but I think this other functionality wasn't?

Sorry to be piling on the requests, but I guess the other main use case I'd imagine for this part of the code would be for the more complex defect thermodynamics analysis that py-sc-fermi allows, where you want to fix certain defect/species etc concentrations and perform some constrained solutions. Is it possible to integrate this to the fermi_solver code?

Just checking I'm not missing something / avoiding redundant work. I can add this to the code if it's not there.

I think it would be nice to maybe have it accept a dictionary of defects and concentraitons, and optionally a charge state so e.g.

fixed_concentrations = {"v_Cd": x, "v_Te_+1" : y}

This could fairly easily be an additional kwarg of any of the py-sc-fermi methods?

@alexsquires something I was also thinking about. Do you think it still makes sense to have this under the separate interface module? Of course py-sc-fermi is one of the optional backends here, but most of the code is backend-agnostic. What about moving it into doped.thermodynamics? I don't have any strong feelings about this, just thinking if it's the better category fit

I also thinks this makes sense. I will fix everything up at the beginning of next week, then we could consider moving it?

[kavanase]

Sounds good!

[alexsquires]

Do you have a local version of the example notebook that is not pushed? There are some issues running the version on GH? I can fix them if not, just checking I'm not reinventing the wheel

[kavanase]

As far as I can tell, my local version isn't different to the pushed version, but in case there's any formatting/etc issues, this is my local version, as well as another notebook I was using for some quick tests before.
Archive.zip

[alexsquires]

This covers the bug features and feature requests. Do you want to consider the merge into thermodynamics?

[kavanase]

Ok great! Yes let's merge to doped.thermodynamics – and for the ChemicalPotentialGrid code, does it make sense to put it in doped.chemical_potentials?

[alexsquires]

Migration finished! Just updating the tests.