Spin-down Wannierization issues (disentanglement window and TB2J exchange parameters)

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Nezar Adriano

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May 6, 2026, 5:40:54 AMMay 6
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Hello,

I’m new to Wannier–TB2J workflows and I’m currently facing an issue with my calculations.

My system is LaBaMnO₃, containing 4 La, 2 Ba, 6 Mn, and 18 O atoms. I’m using Quantum ESPRESSO, and I performed wannier.x with:

num_wann = 84, derived from:
Mn–d: 6×5=30
O–p: 18×3=54
Initial projections: Mn–d and O–p

I followed a setup similar to the TB2J tutorial:
https://tb2j.readthedocs.io/en/latest/src/wannier.html

For the spin-up channel, the Wannierization seems well-behaved. The spreads reported in the .wout file are reasonably small
 Final State
  WF centre and spread    1  ( -0.000247,  3.226525, 11.253949 )     0.69429055
  WF centre and spread    2  ( -0.001291,  3.226577, 11.260101 )     0.57827088
  WF centre and spread    3  (  0.001130,  3.226899, 11.260021 )     0.59500688
  .

  WF centre and spread   83  (  4.333130,  1.136687,  1.036874 )     1.10594447
  WF centre and spread   84  (  4.375231,  1.183547,  1.049835 )     1.44185816
  Sum of centres and spreads ( 95.019783,164.566436,533.581487 )    85.75676674

         Spreads (Ang^2)       Omega I      =    81.626964895
        ================       Omega D      =     0.002634163
                               Omega OD     =     4.127167944
    Final Spread (Ang^2)       Omega Total  =    85.756767003


However, I encounter difficulties with the spin-down channel.

I have performed multiple trial-and-error adjustments, particularly varying:

dis_win_min/max
dis_froz_min/max

From my tests, it seems that dis_win_max plays a critical role (I may be misunderstanding this).
Using dis_win_max as low as possible (dis_win_max  = 17.1943) leads to relatively large spreads (much worse than spin-up) and TB2J exchange parameters are a bit overestimated
.wout
 Final State
  WF centre and spread    1  ( -0.000335,  3.227717, 11.260447 )     1.46529551
  WF centre and spread    2  (  0.042076,  3.345488, 11.716219 )    16.08711979
  WF centre and spread    3  (  0.153398,  3.314790, 11.165702 )    10.74825425
  .

  WF centre and spread   83  (  4.335621,  1.162613,  1.065786 )     1.43474333
  WF centre and spread   84  (  4.374192,  1.181239,  1.046380 )     1.32424756
  Sum of centres and spreads ( 94.473945,165.999905,531.561989 )   250.12129651

         Spreads (Ang^2)       Omega I      =   173.906245146
        ================       Omega D      =     8.184441997
                               Omega OD     =    68.030609629
    Final Spread (Ang^2)       Omega Total  =   250.121296772

tb2j
Exchange:
    i      j          R        J_iso(meV)          vector          distance(A)
----------------------------------------------------------------------------------------
   Mn2   Mn5   (  0,  -1,   0)  7.6236   (-0.000, -3.227,  2.251)  3.934
J_iso:  7.6236
----------------------------------------------------------------------------------------
   Mn1   Mn6   (  0,   1,   0)  9.4849   ( 0.000,  3.227, -2.251)  3.934
J_iso:  9.4849
----------------------------------------------------------------------------------------
   Mn5   Mn2   (  0,   1,   0)  7.6236   ( 0.000,  3.227, -2.251)  3.934
J_iso:  7.6236
----------------------------------------------------------------------------------------
   Mn6   Mn1   (  0,  -1,   0)  9.4849   (-0.000, -3.227,  2.251)  3.934
J_iso:  9.4849
----------------------------------------------------------------------------------------
   Mn5   Mn2   ( -1,   0,   0)  6.8700   (-2.795, -1.613, -2.251)  3.934
J_iso:  6.8700
.
.
I'm using python to calculate the mean J and Sum J for Nearest Neighbour
Mean J: 8.5495
Sum J : 307.7824


Then I gradually increasing dis_win_max (dis_win_max  = 17.2636) and it improves TB2J results (more reasonable exchange parameters). However, Wannier spreads remain significantly larger than spin-up, though this time is better than the first one
.wout
 Final State
  WF centre and spread    1  (  0.001459,  3.227197, 11.250960 )     1.38442166
  WF centre and spread    2  ( -0.770473,  3.030198, 10.985088 )    12.38055445
  WF centre and spread    3  (  0.615704,  3.204737, 11.019994 )    12.75318612
  .

  WF centre and spread   83  (  4.305172,  1.149287,  1.057095 )     1.41044494
  WF centre and spread   84  (  4.379539,  1.193527,  1.045992 )     1.29661989
  Sum of centres and spreads ( 94.990732,164.415678,533.389254 )   200.13562892

         Spreads (Ang^2)       Omega I      =   168.112795815
        ================       Omega D      =     2.952998643
                               Omega OD     =    29.069834720

tb2j
Exchange:
    i      j          R        J_iso(meV)          vector          distance(A)
----------------------------------------------------------------------------------------
   Mn2   Mn5   (  0,  -1,   0) 11.6162   (-0.000, -3.227,  2.251)  3.934
J_iso: 11.6162
----------------------------------------------------------------------------------------
   Mn1   Mn6   (  0,   1,   0) 11.5253   ( 0.000,  3.227, -2.251)  3.934
J_iso: 11.5253
----------------------------------------------------------------------------------------
   Mn5   Mn2   (  0,   1,   0) 11.6162   ( 0.000,  3.227, -2.251)  3.934
J_iso: 11.6162
----------------------------------------------------------------------------------------
.
.
Mean J: 7.0005
Sum J : 252.0194

I even tried without disentanglement window (dis_win/froz_win not set) and it produces spreads comparable to the spin-up case ie quite good. But TB2J exchange parameters become strongly overestimated
.wout
  WF centre and spread   80  ( -1.331384,  2.307697, 10.129439 )     0.55913450
  WF centre and spread   81  ( -1.330266,  2.302123, 10.133249 )     0.57056179
  WF centre and spread   82  (  4.328880,  1.106559,  1.041711 )     0.56156776
  WF centre and spread   83  (  4.324885,  1.107147,  1.042591 )     0.55062756
  WF centre and spread   84  (  4.325797,  1.112102,  1.041094 )     0.54865900
  Sum of centres and spreads ( 95.015702,164.564629,533.582186 )    45.05457457
 
         Spreads (Ang^2)       Omega I      =    44.626682974
        ================       Omega D      =     0.000082356
                               Omega OD     =     0.427809500
    Final Spread (Ang^2)       Omega Total  =    45.054574830
 ------------------------------------------------------------------------------
tb2j
Exchange:
    i      j          R        J_iso(meV)          vector          distance(A)
----------------------------------------------------------------------------------------
   Mn2   Mn5   (  0,  -1,   0) 50.2076   (-0.000, -3.227,  2.251)  3.934
J_iso: 50.2076
----------------------------------------------------------------------------------------
   Mn1   Mn6   (  0,   1,   0) 50.2263   ( 0.000,  3.227, -2.251)  3.934
J_iso: 50.2263
----------------------------------------------------------------------------------------
   Mn5   Mn2   (  0,   1,   0) 50.2076   ( 0.000,  3.227, -2.251)  3.934
J_iso: 50.2076
----------------------------------------------------------------------------------------
   Mn6   Mn1   (  0,  -1,   0) 50.2263   (-0.000, -3.227,  2.251)  3.934
J_iso: 50.2263
.
.
Mean J: 35.2662
Sum J : 1269.5838

I do not know the exact expected values of Jij for this system. However, I attempted to validate the results by running VAMPIRE simulations to estimate the Curie temperature Tc. The second case earlier gives a Tc that is consistent with literature while the no-window case clearly overestimates Tc

So I'm wondering where could be possibly the problem here?

Is it expected that spin-down channels require significantly different disentanglement windows?
Could this indicate that my projection choice (Mn–d and O–p only) is insufficient for the spin-down channel?
More generally what is the recommended way to determine dis_win and froz_win in such systems?

For reference, I also attach the bands.x results from QE for spin-up and spin-down channels as well as PDOS

Any guidance or suggestions would be greatly appreciated

Thank you!
bands.png
PDOS.png
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