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A corrected second-order gradient expansion for exchange energy is identified, resolving a decades-old theoretical puzzle and offering a path to more accurate DFT functionals.
Surprisingly, a meta-GGA functional (LAK) rivals computationally expensive hybrid functionals and approaches Quantum Monte Carlo accuracy for predicting defect formation energies in silicon.