What molecular dynamics can ultimately provide is a low cost computational screening tool for the selection of a well-defined spatial (or polarization state) and temporal distribution of an electric field vector that is consistent with Maxwell's equations, and which maximizes the formation of a desired material. Here, key properties of nucleation, growth, and dissolution rates, along with the polymorphic form produced, would be mapped as a function of the state of the applied field, allowing the question of "what is the optimal field for the formation of the desired material" to be addressed. To this end, we show that MD computer simulations predict that the dynamics and final solid-state form of a seeded glycine crystallization process can be controlled through the application of a static electric field. It is demonstrated how 𝛼-, 𝛽-, and 𝛾-glycine nanocrystals can be made to dissolve or grow at a rate unique to the applied electric field from a glycine aqueous solution. This is performed through an exhaustive screening of the applied electric field intensity. Furthermore, it is shown that the growth of the nanocrystals in the presence of strong electric fields takes place due to a solid-state transformation to a never before made polymorph of glycine. The resulting crystal morphology is also shown to be a function of the applied electric field strength. This new form is subsequently stabilized after the removal of the electric field through a temperature quench, but demonstrates electric field memory loss on longer time scales, yielding the prediction that the electric field vector would need to be applied throughout the crystallization trajectory to maintain the newly produced polymorphic form.