A digital laboratory that employs artificial intelligence and supercomputing to expedite the development of innovative materials for energy applications in photovoltaics, batteries, and electrolyzers. It is the "product" of the IEMAP (Italian Energy Materials Acceleration Platform) project, in which ENEA (coordinator), CNR, RSE, and the Italian Institute of Technology are involved. The project, which was funded by the Ministry of the Environment and Energy Security as part of the international cooperation initiative "Mission Innovation," has enabled the establishment of a digital laboratory that is both innovative and highly technological, thereby revolutionizing the field of materials research. In fact, the system enables the optimization of the development process and the reduction of the number of experiments required to create new materials, all while reducing the implementation time, thanks to advanced simulations. The objective is to expedite the transition of innovative materials from the laboratory to practical application. This is a multifaceted process that necessitates extensive experiments in the initial stages to determine the appropriate chemical composition that will ensure the final device is both durable and efficient, while also being sustainable and cost-effective. A platform has been developed that combines a centralized database with advanced automated techniques for managing enormous volumes of data, artificial intelligence applications, and realistic simulations, as well as the utilization of ENEA's CRESCO6 supercomputer. The acquired data is processed by artificial intelligence, which then employs it to identify potential experiments that should be conducted in order to identify the most appropriate materials.