tcal Documentation¶
Requirements¶
Python 3.9 or newer
NumPy
Gaussian 09 or 16
Important
The path of the Gaussian must be set.
Installation¶
pip install yu-tcal
Verify Installation¶
After installation, you can verify by running:
tcal --help
Options¶
Short |
Long |
Explanation |
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Perform atomic pair transfer analysis. |
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Generate cube files. |
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Use Gaussian 09. (default is Gaussian 16) |
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Show options description. |
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Perform atomic pair transfer analysis of LUMO. |
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Print MO coefficients, overlap matrix and Fock matrix. |
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Output csv file on the result of apta. |
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Read log files without executing Gaussian. |
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Convert xyz file to gjf file. |
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Perform atomic pair transfer analysis between different levels. N1 is the number of level in the first monomer. N2 is the number of level in the second monomer. |
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Calculate the transfer integral of heterodimer. N is the number of atoms in the first monomer. |
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Calculate transfer integrals between different levels. N is the number of levels from HOMO-LUMO. N=0 gives all levels. |
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Skip specified Gaussian calculation. If N is 1, skip 1st monomer calculation. If N is 2, skip 2nd monomer calculation. If N is 3, skip dimer calculation. |
How to Use¶
1. Create gjf file¶
First of all, create a gaussian input file as follows:
Example: xxx.gjf
The xxx part is an arbitrary string.
Description of link commands¶
- pop=full
Required to output coefficients of basis functions, overlap matrix, and Fock matrix.
- iop(3/33=4,5/33=3)
Required to output coefficients of basis functions, overlap matrix, and Fock matrix.
How to create a gjf using Mercury¶
Open cif file in Mercury.
Display the dimer you want to calculate.
Save in mol file or mol2 file.
Open a mol file or mol2 file in GaussView and save it in gjf format.
2. Execute tcal¶
Suppose the directory structure is as follows:
yyy
└── xxx.gjf
Open a terminal.
Go to the directory where the files is located.
cd yyy
Execute the following command.
tcal -a xxx.gjf
3. Visualization of molecular orbitals¶
Execute the following command.
tcal -cr xxx.gjf
Open xxx.fchk in GaussView.
[Results] → [Surfaces/Contours…]
[Cube Actions] → [Load Cube]
Open xxx_m1_HOMO.cube and xxx_m2_HOMO.cube.
Visualize by operating [Surface Actions] → [New Surface].
Interatomic Transfer Integral¶
For calculating the transfer integral between molecule A and molecule B, DFT calculations were performed for monomer A, monomer B, and the dimer AB. The monomer molecular orbitals \(\ket{A}\) and \(\ket{B}\) were obtained from the monomer calculations. Fock matrix F was calculated in the dimer system. Finally the intermolecular transfer integral \(t^{[1]}\) was calculated by using the following equation:
where \(\epsilon_A \equiv \braket{A|F|A}\) and \(\epsilon_B \equiv \braket{B|F|B}\).
In addition to the intermolecular transfer integral in general use, we developed an interatomic transfer integral for further analysis \(^{[2]}\). By grouping the basis functions \(\ket{i}\) and \(\ket{j}\) for each atom, the molecular orbitals can be expressed as
where \(\alpha\) and \(\beta\) are the indices of atoms, \(i\) and \(j\) are indices of basis functions, and \(a_i\) and \(b_j\) are the coefficients of basis functions. Substituting this formula into aforementioned equation gives
Here we define the interatomic transfer integral \(u_{\alpha\beta}\) as:
References¶
[1] Veaceslav Coropceanu et al., Charge Transport in Organic Semiconductors, Chem. Rev. 2007, 107, 926-952.
[2] Koki Ozawa et al., Statistical analysis of interatomic transfer integrals for exploring high-mobility organic semiconductors, Sci. Technol. Adv. Mater. 2024, 25, 2354652.
Citation¶
When publishing works that benefited from tcal, please cite the following article:
Koki Ozawa, Tomoharu Okada, Hiroyuki Matsui, Statistical analysis of interatomic transfer integrals for exploring high-mobility organic semiconductors, Sci. Technol. Adv. Mater., 2024, 25, 2354652.
Example of using tcal¶
API Reference¶
API Reference
Indices and Tables¶
Acknowledgements¶
This work was supported by JST, CREST, Grand Number JPMJCR18J2.
License¶
This project is released under the MIT License.
For more details, see the LICENSE file on GitHub.