Virtual screening of n-type organic semiconductors using exhaustive band structure calculations
We performed a virtual screening of high-mobility n-type organic semiconductor materials using the Cambridge Structural Database (CSD) and large-scale band structure calculations. Over 220,000 crystal structures from the CSD were preliminarily screened, narrowing the selection to 461 candidates with suitable lowest unoccupied molecular orbital levels for n-type transistors. These materials were further analyzed through density functional theory band structure calculations to estimate effective mass tensors, a key indicator of mobility. Finally, we identified the materials with small and isotropic effective masses for use in flexible electronic devices.
Authors
- Wataru Fujiwara
- Hiroshi Katagiri (ORCID: https://orcid.org/0000-0003-4100-9995)
- Hiroyuki Matsui (ORCID: https://orcid.org/0000-0003-1956-9603)
- Tomoharu Okada
Institutions
- Yamagata University (JP)
- Yamagata University Hospital (JP)
Publication Details
- Journal
- Science and Technology of Advanced Materials Methods
- Published
- 2024-12-16
- DOI
- https://doi.org/10.1080/27660400.2024.2442902
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kyushu University