Jacob’s ladder in DFT is a metaphor for the hierarchy of exchange-correlation functionals.
It has four rungs, from lowest to highest accuracy:
-LDA: Local density approximation – simplest, uses only local electron density
-GGA: Generalized gradient approximation – adds density gradient
-Hybrids: exact exchange term
-MGGA: Meta-GGA – adds kinetic energy density
Each higher rung adds more physical ingredients and computational cost