The properties of a solid-state material are intimately coupled with its crystalline structure, pushing polymorphism, the ability of a molecule to self assemble into multiple solid-state crystalline forms, to the forefront of advanced material discovery. In the pharmaceutical industry alone, 90% of all drugs are sold in the solid state, making the solid-state form selection process of the utmost importance, as key material properties, such as bioavailability, shelf life, compactability, nucleation and growth kinetics, all depend on the polymorphic form employed . Although a molecule can assemble in 230 space groups, only a small fraction of these solid-state structures are ever obtained experimentally as current methods of crystallization, which rely on agitation rate, flow rate, solvent, temperature, and pressure as external control variables, only render a handful of the lowest energy metastable forms kinetically accessible. Thus, only a small fraction of the solid-state properties a molecule can exhibit are ever observed. The current inability to extend the landscape of obtainable crystal structures leads to issues such as the bioavailability crisis in pharma, where 60% of all newly discovered active pharmaceutical ingredients (API) possess poor aqueous solubility in the crystallized solid-state structures , thereby limiting the absorption of these drugs in vivo. Novel material synthesis methods are required to provide experimentalist with the tools to extend the landscape of accessible crystals to encompass all of the possible crystal lattices for a given molecule, and therefore unlock all potential solid-state material properties a molecule can exhibit. With initiatives such as the Materials Genome Initiative , and the growing field of assembly engineering , it is now recognized ubiquitously across government, industry, and academia, that computer simulation produced predictions are required to accelerate the discovery of these synthesis methods and materials at reduced cost. We attribute the importance of this work to its capacity to guide experimentalists towards manipulating crystal structures with electric fields constructed from atomic level insights provided by computer simulations.