High‐Throughput Computational Screening of Small Molecular Crystals for Sustainable Piezoelectric Materials

Abstract Organic molecular crystals are ideally placed to become next‐generation piezoelectric materials due to their diverse chemistries that can be used to engineer tailor‐made solid‐state assemblies. Using crystal engineering principles and techniques such as cocrystallization, these materials can be engineered to have a wide range of electromechanical properties. For materials that have been structurally characterized by methods such as X‐ray diffraction, computational chemistry is an effective tool to predict their electromechanical properties, allowing researchers to screen these molecular crystals and identify materials best suited to their chosen application. Here, we present our database of small molecular crystals and their density functional theory (DFT) predicted electromechanical properties, CrystalDFT ( https://actuatelab.ie/CrystalDFT ). We highlight the broad range of electromechanical properties amongst this primary dataset, and in particular, the high number of crystals that have a naturally occurring (unpoled) longitudinal piezoelectric response ( d 11 / d 22 / d 33 ). This longitudinal electromechanical coupling is a prerequisite for several conventional sensing and energy harvesting applications, the presence of which is notably rare amongst the literature on biomolecular crystal piezoelectricity to date.