Extracting DMI and J_ani for highly canted non colinear magnetic state

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Siddharth Pandya

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Apr 23, 2026, 1:20:11 AM (2 days ago) Apr 23
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Dear HeXu and the TB2J development team,

I am working on a material with a strongly noncollinear magnetic ground state, where some magnetic moments within the unit cell are canted by 70–90° from the ferromagnetic axis. I am using the standard TB2J workflow , rotating structures with TB2J_rotate, running seven VASP+Wannier90 calculations, and merging with TB2J_merge ,to extract the full exchange tensor including DMI and symmetric anisotropic exchange J_ani.

I am finding that the merged DMI magnitudes are unphysically large, with |D|/|J_iso| ratios exceeding 1.0 for a 3d transition metal system where I would expect values in the range 0.05–0.2. TB2J itself emits a warning that the reconstruction matrix is close to singular. Shell-by-shell validation shows large leave-one-out errors and poor consistency between the six rotated calculations after back-rotation to a common frame, particularly for DMI and J_ani. The J_iso extracted from the noncollinear reference state is also significantly underestimated compared to a collinear FM reference calculation, which I attribute to the LKAG projection problem for strongly noncollinear spin configurations.

My specific questions are:

  1. Is the standard TB2J_rotate and TB2J_merge workflow valid for strongly noncollinear reference states, or does the LKAG formalism break down when the local spin quantization axes differ by 70–90° between sites?
  2. What is the recommended procedure for extracting reliable DMI and J_ani parameters in this regime? Is a spin spiral approach more appropriate, and if so, does TB2J support noncollinear spin spiral Hamiltonians as input?
  3. Is there a way to assess whether the near-singular reconstruction matrix is a fundamental limitation of the reference state or a numerical issue that can be resolved with a different set of rotation axes?

Any guidance would be greatly appreciated.

Best regards, Siddharth   
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