Prescription for the design and selection of density functional approximations: more constraint satisfaction with fewer fits.

  title={Prescription for the design and selection of density functional approximations: more constraint satisfaction with fewer fits.},
  author={John P. Perdew and Adrienn Ruzsinszky and Jianmin Tao and Viktor N. Staroverov and Gustavo E. Scuseria and G{\'a}bor I. Csonka},
  journal={The Journal of chemical physics},
  volume={123 6},
We present the case for the nonempirical construction of density functional approximations for the exchange-correlation energy by the traditional method of "constraint satisfaction" without fitting to data sets, and present evidence that this approach has been successful on the first three rungs of "Jacob's ladder" of density functional approximations [local spin-density approximation (LSD), generalized gradient approximation (GGA), and meta-GGA]. We expect that this approach will also prove… 

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