View article

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 successful on the fourth and fifth rungs (hyper-GGA or hybrid and generalized random-phase approximation). In particular, we argue for the theoretical and practical importance of recovering the correct uniform density limit, which many semiempirical functionals fail to do. Among the beyond-LSD functionals now available to users, we recommend the nonempirical Perdew–Burke–Ernzerhof (PBE) GGA and the nonempirical Tao …