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.

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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

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article

Virtual screening of n-type organic semiconductors using exhaustive band structure calculations

Wataru Fujiwara, Hiroshi Katagiri, Hiroyuki Matsui, Tomoharu Okada
Science and Technology of Advanced Materials Methods
Machine Learning in Materials Science
article

Virtual screening of n-type organic semiconductors using exhaustive band structure calculations

Wataru Fujiwara, Hiroshi Katagiri, Hiroyuki Matsui, Tomoharu Okada
article en

Abstract

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.

Science and Technology of Advanced Materials MethodsVol. 5(1)
Yamagata University (JP), Yamagata University Hospital (JP)
Kyushu University
Openalex Percentile: Top 85%
Machine Learning in Materials Science
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