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New data mining resource for organic materials available

Date:
March 6, 2017
Source:
KTH The Royal Institute of Technology
Summary:
A new, freely accessible database of organic and organometallic materials’ electronic structures is now available online for research with quantum materials.
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A new, freely accessible database of organic and organometallic materials' electronic structures is now available online for research with quantum materials.

Published by the Condensed Matter research group at the Nordic Institute for Theoretical Physics (NORDITA) at KTH Royal Institute of Technology in Sweden, the Organic Materials Database is intended as a data mining resource for research into the electric and magnetic properties of crystals, which 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 difficult and demands large computational resources. But thanks to advances in computational power and a high demand for prediction of materials with target properties, a new way of dealing with quantum materials has developed. Materials informatics focuses on performing -- and developing tools for -- high-throughput computing and data mining.

"You can think of it as aggregate informatics analysis, where the properties of a single compound are captured approximately and resources are aimed toward understanding global trends within the large datasets," says Alexander Balatsky, Professor of Theoretical Physics at KTH.

Applications of this informatics-driven approach are wide-ranging and cover, for example, 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.

The database will facilitate the first-principles investigation of organics and the prediction of organic functional materials, given their high potential for industrial applications, Balatsky says.

Electronic band structures are calculated using density functional theory that is a standard tool in modern materials science. The OMDB 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.

The project is already yielding results, including the discovery of new organic Dirac materials which were reported in two scientific papers by R. M. Geilhufe et al, Phys. Rev. B 95, 041103(R) (2017) and arXiv preprint (2016). There is also ongoing search for novel materials for organic solar cells, organic metals and semiconductors.

More information about the functionality and potential applications of the OMDB 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, to be published 2017.

The database is supported by the Villum Center for Dirac Materials and Nordita. The computational resources are provided by the Max Planck Institute of Microstructure Physics in Halle (Germany) and the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre at Linköping University.

Database: http://omdb.diracmaterials.org/%20


Story Source:

Materials provided by KTH The Royal Institute of Technology. Note: Content may be edited for style and length.


Journal Reference:

  1. Stanislav S. Borysov, R. Matthias Geilhufe, Alexander V. Balatsky. Organic materials database: An open-access online database for data mining. PLOS ONE, 2017; 12 (2): e0171501 DOI: 10.1371/journal.pone.0171501

Cite This Page:

KTH The Royal Institute of Technology. "New data mining resource for organic materials available." ScienceDaily. ScienceDaily, 6 March 2017. <www.sciencedaily.com/releases/2017/03/170306091934.htm>.
KTH The Royal Institute of Technology. (2017, March 6). New data mining resource for organic materials available. ScienceDaily. Retrieved May 25, 2017 from www.sciencedaily.com/releases/2017/03/170306091934.htm
KTH The Royal Institute of Technology. "New data mining resource for organic materials available." ScienceDaily. www.sciencedaily.com/releases/2017/03/170306091934.htm (accessed May 25, 2017).

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