Publications
This page lists key publications related to the databases made available via Anyterial.
The ADAQ database
These publications have contributed to the database and/or key metodology.
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ADAQ: Automatic workflows for magneto-optical properties of point defects in semiconductors,
J. Davidsson, V. Ivády, R. Armiento, and I. A. Abrikosov, Computer Physics Communications, 108091 (2021). -
Theoretical polarization of zero phonon lines in point defects,
J. Davidsson, J. of Phys.: Condensed Matter 32, 385502 (2020).
For more information on how to cite the ADAQ database, refer to its publication page.
The Hard-coating Alloys DataBase (HADB)
- [HADB: A materials-property database for hard-coating alloys]
H. Levämäki, F. Bock, D. G. Sangiovanni, L. J. S. Johnson, F. Tasnádi, R. Armiento, I. A. Abrikosov, Thin Solid Films 766, 139627 (2023).
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Main publication
- Database-driven High-Throughput Calculations and Machine Learning Models for Materials Design
R. Armiento in: Schütt K., Chmiela S., von Lilienfeld O., Tkatchenko A., Tsuda K., Müller KR. (eds)
Machine Learning Meets Quantum Physics, Lecture Notes in Physics, vol 968. Springer, Cham. (2020).
Prior high-throughput computational publications from which the software originated
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Machine Learning Energies of 2 M Elpasolite (ABC2D6) Crystals
FA Faber, A Lindmaa, OA Von Lilienfeld, R Armiento, Physical review letters 117, 135502 (2016). -
Crystal structure representations for machine learning models of formation energies
F Faber, A Lindmaa, OA von Lilienfeld, R Armiento, International Journal of Quantum Chemistry 115, 1094 (2015).
ADAQ software platform
Automatic Defect Analysis and Qualification (ADAQ) is a software platform for automatic workflows for high-throughput calculations of point defects in semiconductors.
Main publication
- ADAQ: Automatic workflows for magneto-optical properties of point defects in semiconductors,
J. Davidsson, V. Ivády, R. Armiento, and I. A. Abrikosov, Computer Physics Communications, 108091 (2021).
Tools
- ADAQ-SYM: Automated Symmetry Analysis of Defect Orbitals,
W. Stenlund., J. Davidsson, V. Ivády, R. Armiento, and I. A. Abrikosov, arXiv:2307.04381 [cond-mat.mtrl-sci] (2023).