An efficient computational framework for charge density estimation in twisted bilayer graphene
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1812978
- Grant/Contract Number:
- SC0020177
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Computational Materials Science
- Additional Journal Information:
- Journal Name: Computational Materials Science Journal Volume: 199 Journal Issue: C; Journal ID: ISSN 0927-0256
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
Citation Formats
Rakib, Tawfiqur, Ertekin, Elif, Pochet, Pascal, and Johnson, Harley T. An efficient computational framework for charge density estimation in twisted bilayer graphene. Netherlands: N. p., 2021.
Web. doi:10.1016/j.commatsci.2021.110746.
Rakib, Tawfiqur, Ertekin, Elif, Pochet, Pascal, & Johnson, Harley T. An efficient computational framework for charge density estimation in twisted bilayer graphene. Netherlands. https://doi.org/10.1016/j.commatsci.2021.110746
Rakib, Tawfiqur, Ertekin, Elif, Pochet, Pascal, and Johnson, Harley T. Mon .
"An efficient computational framework for charge density estimation in twisted bilayer graphene". Netherlands. https://doi.org/10.1016/j.commatsci.2021.110746.
@article{osti_1812978,
title = {An efficient computational framework for charge density estimation in twisted bilayer graphene},
author = {Rakib, Tawfiqur and Ertekin, Elif and Pochet, Pascal and Johnson, Harley T.},
abstractNote = {},
doi = {10.1016/j.commatsci.2021.110746},
journal = {Computational Materials Science},
number = C,
volume = 199,
place = {Netherlands},
year = {2021},
month = {11}
}
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https://doi.org/10.1016/j.commatsci.2021.110746
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