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Comment on "Pushing the frontiers of density functionals by solving the fractional electron problem".

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This study questions the accuracy of the DM21 density functional, trained on fractional charge and spin systems. The authors demonstrate that DM21

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Area of Science:

  • Computational chemistry
  • Quantum mechanics
  • Materials science

Background:

  • The DM21 density functional was developed using neural networks and trained on fractional charge (FC) and fractional spin (FS) systems.
  • Kirkpatrick et al. claimed DM21 exhibits high accuracy for strongly correlated chemical systems.

Purpose of the Study:

  • To critically evaluate the generalization capabilities of the DM21 density functional.
  • To reassess the claimed accuracy of DM21 for systems with strong correlation.

Main Methods:

  • Analysis of the generalization performance of DM21.
  • Revisiting the published results concerning DM21's accuracy on FC and FS systems.

Main Results:

  • The ability of DM21 to generalize to strongly correlated systems is not supported by the published evidence.
  • The claimed outstanding accuracy of DM21 requires further investigation and validation.

Conclusions:

  • The generalization performance of DM21 for strongly correlated systems needs re-evaluation.
  • The findings challenge the robustness of DM21's accuracy claims.