JOURNAL ARTICLE
First-principles density functional theory for the structural, electronic, and phonon calculations of Ca-doped bilayer graphene.
Published In: International Journal of Computational Materials Science & Engineering, 2025, v. 14, n. 4. P. 1 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Nurwantoro, Pekik; Yunitasari, Sefty; Prayogi, Harmon; Hidayati, Sri; Sholihun, Sholihun 3 of 3
Abstract
Density functional theory is adopted for the electronic structure and phonon calculation of Ca-doped bilayer graphene. The AA and AB stacking configurations are simulated, and the atoms are relaxed so that the atomic forces working on them are close to zero (5.0 x 10-3 eV/°A). In the final relaxation, the symmetry of C8CaC8 is D2h for AA stacking and CS for AB stacking. The formation energy of AA stacking (1.72 eV) is much lower than that of AB stacking (8.07 eV). According to the electronic structure calculations, the Dirac point shifts down from the Fermi level, indicating that the Ca atom behaves as an n-type dopant. The calculated Fermi velocities for pristine bilayer graphene are 7.69x105 (AA stacking) and 7.75 x 105 m/s (AB stacking). Those for Ca-doped bilayer graphene are 7.29 x 105 (AA stacking) and 7.22 x 105 m/s (AB stacking). Phonon calculations revealed that considering the vibrational effect, the defect concentration is 1.4x1016 cm-3 in the AA stacking system. Meanwhile, concentration is deficient in the AB stacking system due to the asymmetric defect configuration. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Computational Materials Science & Engineering. 2025/12, Vol. 14, Issue 4, p1
- Document Type:Article
- Subject Area:Physics
- Publication Date:2025
- ISSN:20476841
- DOI:10.1142/S2047684124500040
- Accession Number:189074263
- Copyright Statement:Copyright of International Journal of Computational Materials Science & Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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