SeeBand: a highly efficient, interactive tool for analyzing electronic transport data
SeeBand is an interactive tool for extracting microscopic material parameters by fitting temperature-dependent thermoelectric transport properties using Boltzmann transport theory. With real-time comparison between electronic band structures and transport data, it analyzes the Seebeck coefficient, resistivity, and Hall coefficient. Neural-network-assisted guesses and efficient fitting routines enable high-throughput processing of large datasets. SeeBand accelerates material design by allowing electronic band structure models to be derived directly from a single sample’s transport measurements.
Authors
- Alexander Riss (ORCID: https://orcid.org/0000-0002-9707-8394)
- E. Bauer (ORCID: https://orcid.org/0000-0001-7376-5897)
- Michael Parzer (ORCID: https://orcid.org/0000-0003-3509-7474)
- Takao Mori (ORCID: https://orcid.org/0000-0003-2682-1846)
- Fabian Garmroudi (ORCID: https://orcid.org/0000-0002-0088-1755)
- Johannes de Boor (ORCID: https://orcid.org/0000-0002-1868-3167)
Institutions
- TU Wien (AT)
- University of Tsukuba (JP)
- National Institute for Materials Science (JP)
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- npj Computational Materials
- Published
- 2025-06-07
- DOI
- https://doi.org/10.1038/s41524-025-01645-y
- Citations
- 5
- Primary Topic
- Advanced Thermoelectric Materials and Devices
- Type
- article
- Field-Weighted Citation Impact
- 2.59
Funders
- Technische Universität Wien
- Japan Science and Technology Agency
- Technische Universität Wien Bibliothek
- JST-Mirai Program