Comments (3)
Hi, thanks for reporting. Generally I would advice against using the HSX file format. It is incomplete is various ways. And if you are insisting on the exact same coordinates, then your only choice is to use the TSHS file format. Simply add TS.HS.Save
to your fdf file, and use that file (you shouldn't need to change your script as the fdf
file will prefer the TSHS file if present).
Lastly, some comments.
- performance wise it is better to do:
denseH_arr = H.Hk(format='array')
- do not use
numpy.matrix
it is outdated. - the above changes will be much faster! :)
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@Connor-Herring did it fix your problem?
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@zerothi Yes, thank you! I had been trying to write the TSHS before but it was not working. I realized it's because it only gets written if the scf loop converges and I was previously just running 1 step. Anyway, using the TSHS file is working for me now (with all coordinates).
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Related Issues (20)
- use tocartesian HOT 11
- Change neighborfinder returns to a tuple of indices and supercell indices HOT 21
- Sisl files not available in readthedocs documentation HOT 18
- Ufuncs could support external classes HOT 4
- `Geometry ` coordinates as f-contiguous array HOT 4
- Streamlining spin/index arguments on `read_grid` methods
- Writing Hamiltonian with sisl from Wannier HOT 3
- `translate2uc` should use boundary conditions (?) HOT 7
- Transport routines within the kubo approach HOT 16
- Disentangle overlap matrix and *other matrices*
- Merging Atom/Orbital etc. HOT 1
- eigenvalues from hamiltonian in presence of magnetic field HOT 2
- Listify breaks documentation HOT 8
- Custom colormaps for 3D plots HOT 3
- numpy 2.0 released -- need to bump stuff HOT 1
- sisl release policy HOT 6
- Docs formatting issue: Missing argument for `\mathbf` HOT 2
- sisl.viz.FatBandsPlot error in fatbands_mode = 'line/scatter' HOT 16
- #496 seems broken on 3.12 HOT 3
- Allow `State.degenerate_decouple`
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