Kobayashi, M.; Kodama, R.; Akama, T.; Taketsugu, T.
Fragmentation-Based Linear-Scaling Method for Strongly Correlated Systems: Divide-and-Conquer Hartree–Fock–Bogoliubov Method, Its Energy Gradient, and Applications to Graphene Nano-Ribbon Systems. Chemistry 2025, 7, 46.
https://doi.org/10.3390/chemistry7020046
AMA Style
Kobayashi M, Kodama R, Akama T, Taketsugu T.
Fragmentation-Based Linear-Scaling Method for Strongly Correlated Systems: Divide-and-Conquer Hartree–Fock–Bogoliubov Method, Its Energy Gradient, and Applications to Graphene Nano-Ribbon Systems. Chemistry. 2025; 7(2):46.
https://doi.org/10.3390/chemistry7020046
Chicago/Turabian Style
Kobayashi, Masato, Ryosuke Kodama, Tomoko Akama, and Tetsuya Taketsugu.
2025. "Fragmentation-Based Linear-Scaling Method for Strongly Correlated Systems: Divide-and-Conquer Hartree–Fock–Bogoliubov Method, Its Energy Gradient, and Applications to Graphene Nano-Ribbon Systems" Chemistry 7, no. 2: 46.
https://doi.org/10.3390/chemistry7020046
APA Style
Kobayashi, M., Kodama, R., Akama, T., & Taketsugu, T.
(2025). Fragmentation-Based Linear-Scaling Method for Strongly Correlated Systems: Divide-and-Conquer Hartree–Fock–Bogoliubov Method, Its Energy Gradient, and Applications to Graphene Nano-Ribbon Systems. Chemistry, 7(2), 46.
https://doi.org/10.3390/chemistry7020046