Methods for the rapid identification of defined cell growth conditions are lacking. This deficiency is a major barrier to the investigation and application of human embryonic stem (ES) cells. To address this problem, we developed a method for generating arrays of self-assembled monolayers (SAMs) in which each element constitutes a defined surface. By screening surface arrays, we identified peptidic surfaces that support ES cell growth and self-renewal. The ability of the active surface array elements to support ES cell growth depends on their composition: both the density of the peptide presented and its sequence are critical. These findings support a role for specific surface-cell interactions. Moreover, the data from the surface arrays are portable. They can be used to design an effective 3D synthetic scaffold that supports the growth of undifferentiated human ES cells. Our results demonstrate that synthetic substrates for promoting and probing human ES cell self-renewal can be discovered through SAM surface arrays.