About
Digital Chemistry is a growing platform from Graz University of Technology (TU Graz) developed by the Chemical Modelling and Informatics Group (CheMIn) that turns chemical knowledge into searchable and usable data.
Our focus is open tools clean datasets and clear visuals for fast insight.
What we do
- curate and connect chemical data with evolving knowledge models
- build simple web tools for search compare and learn
- prototype models that spot patterns and gaps in the literature
- release examples and starter code so others can reuse our work
Why it matters
Polyoxometalates (POMs) are a diverse class of molecular clusters with immense potential in catalysis, medicine, and materials science. However, information about these compounds has traditionally been scattered across numerous publications and databases.Chemistry moves faster when data are easy to find easy to link and easy to trust. We want a place where a student or a PI can answer a question in minutes not days.
How it works
- sources are parsed and checked
- entities are mapped to a shared vocabulary
- results are stored with provenance and shown in clear views
- users can suggest fixes that go into the next release
Current focus
Polyoxometalates, Supramolecular and Reticular Materials. More domains will follow.
Accuracy and feedback
This is under active development. If something looks off please tell us. Your notes directly improve the next version.
Cite us
Please cite the Digital Chemistry platform and the specific dataset or app you use. A citation block will appear on each dataset page.
Contact
kondinski at tugraz dot at
Acknowledgement
Field of Expertise - Advanced Materials Science of TU Graz Competitive Start-up Funding support (AF22-635-1)