About ADAQ and the ADAQ Database

The Automatic Defect Analysis and Qualification, ADAQ, is a software platform for automatic workflows for high-throughput calculations of point defects in semiconductors. ADAQ is an extension to the high-throughput toolkit, httk. See the ADAQ framework web page for more information.

The ADAQ Database provides a powerful web user interface to interactively navigate and search a rich dataset of defects and their properties. It is implemented using the httkweb web user interface engine in httk.

The ADAQ Database is maintained by the Unit of Materials Design and Informatics at Theoretical Physics at Linköping University (LiU) in Sweden.

ADAQ Database Initiative

Joel Davidsson

Joel Davidsson

ADAQ Main Developer and
Database Initative Lead

Viktor Ivády

Viktor Ivády

Methodology Lead

Rickard Armiento

Rickard Armiento

Technology Lead

Igor Abrikosov

Igor Abrikosov

Strategy Lead

Contributors of Data and Methodology

Oscar Bulancea Lindvall

Oscar Bulancea Lindvall 1

SiC defect data

William Stenlund

William Stenlund 1

Defect symmetry analysis,
Diamond host data

Abhijith S Parackal

Abhijith S Parackal 1

Diamond host data

1 Materials Design and Informatics unit, Theoretical Physics, Linköping University, Sweden.

Collaborators

1 Semiconductor Materials, Linköping University, Sweden.
2 Semiconductor Nanostructures, Wigner Research Centre for Physics, Hungary.
3 Pritzker School of Molecular Engineering, University of Chicago, USA.

Website Development

  • Andreas Hertin
  • Gunnar Wickbom
  • Alice Eriksson

Contact

The ADAQ initative lead can be contacted at: joel.davidsson@liu.se

For help and discussions about ADAQ and the ADAQ database, please use the ADAQ discussion forum.

News and announcements

We use the announcement section of our GitHub discussion forum to announce new features, availability of new data, and events we organize related to materials design and discovery (e.g., workshops). You can subscribe to these announcements via a third-party email list service at this subscription link.

The announcements are also available via this RSS link.

Legal and privacy information

Database licensing

Individual database entries, and non-substantial sets of them, and other extracts from the database that do not constitute a substantial part of the ADAQ Database are available under the CC BY-SA 4.0 license. To the extent one can ascribe protection to collections of specifically the database field "Defect ID", even substantial or complete collections of such IDs are available under the same license.

Other than as described above, we retain the rights protecting the ADAQ Database itself and excerpts that constitute substantial parts of it. Hence, if you need to reproduce a substantial part of the ADAQ Database, for example, to publish a data set from a research project where the published data would include (rather than reference via Defect IDs) large parts of the data we provide, please contact us.

Note: the above statements apply to the ADAQ Database and its contents, and do not cover the ADAQ workflow software or other related software packages. For licensing information for these software packages, please refer to, e.g., their respective source code repositories.

Helpful information on the protection of databases is available, e.g., from europa.eu and the European Intellectual Property Rights Helpdesk (EHD).

Linked third-party services. This website contains links to various third-party services that we use, e.g., to post information related to our activities. These third-party services operate as separate entities from this website and our services. Visits to them are subject to their own respective terms of service and privacy policies.

Cookies. This website does not use cookies.

Website visitor analytics. We occasionally review aggregated anonymized usage statistics based on webserver log data.

Acknowledgements

The main part of our computations has been performed at the Swedish National Infrastructure for Computing (SNIC) and National Academic Infrastructure for Super­computing in Sweden (NAISS).

We are grateful for funding provided by:

And computational resources: