The generalized energy-based fragmentation (GEBF) approach under periodic boundary conditions (PBCs) has been developed to facilitate calculations of molecular crystals containing large molecules. The PBC-GEBF approach can help predict structures and properties of molecular crystals at different theory levels by performing molecular quantum chemistry calculations on a series of non-periodic subsystems constructed from the studied systems. A more rigorous formula of the forces on translational vectors of molecular crystals was proposed and implemented, enabling more reliable predictions of crystal structures. Our benchmark results on several typical molecular crystals show that the PBC-GEBF approach could reproduce the forces on atoms and the translational vectors and the optimized crystal structures from the corresponding conventional periodic methods. The improved PBC-GEBF approach is then applied to predict the crystal structures and vibrational spectra of two molecular crystals containing large molecules. The PBC-GEBF approach can provide a satisfactory description on the crystal structure of a molecular crystal containing 312 atoms in a unit cell at density-fitting second-order Møller–Plesset perturbation theory and density functional theory (DFT) levels and the infrared vibrational spectra of another molecular crystal containing 864 atoms in a unit cell at the DFT level. The PBC-GEBF approach is expected to be a promising theoretical tool for electronic structure calculations on molecular crystals containing large molecules.
Skip Nav Destination
Article navigation
28 January 2023
Research Article|
January 26 2023
Predicting the structures and vibrational spectra of molecular crystals containing large molecules with the generalized energy-based fragmentation approach
Special Collection:
High Performance Computing in Chemical Physics
Benkun Hong (洪本坤)
;
Benkun Hong (洪本坤)
(Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft)
1
School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University
, Nanjing 210093, People’s Republic of China
Search for other works by this author on:
Tao Fang (方涛);
Tao Fang (方涛)
(Conceptualization, Methodology, Software)
2
Genesys Microelectronics (Shanghai) Co., Ltd.
, 6th Floor, 11th Building, No. 3000 LongDong Road, Pu Dong District, Shanghai, People’s Republic of China
Search for other works by this author on:
Wei Li (李伟)
;
Wei Li (李伟)
a)
(Funding acquisition, Resources, Software, Supervision, Writing – review & editing)
1
School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University
, Nanjing 210093, People’s Republic of China
Search for other works by this author on:
Shuhua Li (黎书华)
Shuhua Li (黎书华)
a)
(Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing)
1
School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University
, Nanjing 210093, People’s Republic of China
Search for other works by this author on:
Note: This paper is part of the JCP Special Topic on High Performance Computing in Chemical Physics.
J. Chem. Phys. 158, 044117 (2023)
Article history
Received:
November 30 2022
Accepted:
January 09 2023
Citation
Benkun Hong, Tao Fang, Wei Li, Shuhua Li; Predicting the structures and vibrational spectra of molecular crystals containing large molecules with the generalized energy-based fragmentation approach. J. Chem. Phys. 28 January 2023; 158 (4): 044117. https://doi.org/10.1063/5.0137072
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
Citing articles via
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.