About the Database

Electronic and magnetic properties of crystals are primarily defined by their electronic band structure — an energy spectrum of electrons motion which stem from their quantum-mechanical properties. Computer calculation of such structures is known to be a non-trivial task which demands large computational resources. Exponential growth of computational power we witness now and high demand for prediction of materials with target properties led to a new way of dealing with quantum materials referred to as materials informatics. This approach places the main effort on performing high-throughput computing and data mining as well as the development of sufficient tools for that. One can call this approach an "aggregate informatics analysis", where the properties of a single compound are captured approximately and main resource is placed on understanding global trends within the large datasets.

Applications of this informatics-driven approach are wide-ranging and cover, for instance, the search for various functional materials with special electrical, optical and magnetic properties, including the 2016 Nobel Prize-winning topological states of matter, an important building block of a quantum computer. Motivated by this new trend in materials informatics, our team developed a web database as a source for data mining projects, built on a decade of dedicated organic materials research. The database will facilitate the first-principles investigation of organics and the prediction of organic functional materials given their high potential for industrial applications.

The Database is an electronic structure database for various organic and organometallic materials, freely accessible via a web interface at doubletlabs.ai. The electronic band structures are calculated using density functional theory that is a standard tool in modern materials science. The Database web interface allows users to search for materials with specified target properties using non-trivial queries about their electronic structure, including advanced tools for pattern recognition, chemical and physical properties search. More information about the functionality and potential applications of the Database can be found in the article by S. S. Borysov et al, "Organic Materials Database: an Open-Access Online Database for Data Mining", PLOS ONE 12(2): e0171501 (2017).

Browsing gives access to a preview of our published materials, with broader access to the full database being rolled out in stages — we'll announce expanded access here as it becomes available.