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Information card for entry 4130070
Preview
| Coordinates | 4130070.cif |
|---|---|
| Original paper (by DOI) | HTML |
| External links | PubChem |
| Chemical name | GTA Monomer |
|---|---|
| Formula | C22 H21 Cl N6 O3 |
| Calculated formula | C22 H21 Cl N6 O3 |
| SMILES | [Cl-].N(=C/c1ccccc1O)\NC(=[NH+]/N=C/c1c(O)cccc1)N/N=C/c1c(O)cccc1 |
| Title of publication | Self-Exfoliated Guanidinium-Based Ionic Covalent Organic Nanosheets (iCONs). |
| Authors of publication | Mitra, Shouvik; Kandambeth, Sharath; Biswal, Bishnu P.; Khayum M, Abdul; Choudhury, Chandan K.; Mehta, Mihir; Kaur, Gagandeep; Banerjee, Subhrashis; Prabhune, Asmita; Verma, Sandeep; Roy, Sudip; Kharul, Ulhas K.; Banerjee, Rahul |
| Journal of publication | Journal of the American Chemical Society |
| Year of publication | 2016 |
| Journal volume | 138 |
| Journal issue | 8 |
| Pages of publication | 2823 - 2828 |
| a | 8.8088 ± 0.0005 Å |
| b | 9.7607 ± 0.0005 Å |
| c | 13.1099 ± 0.0008 Å |
| α | 88.133 ± 0.004° |
| β | 78.48 ± 0.005° |
| γ | 84.582 ± 0.004° |
| Cell volume | 1099.44 ± 0.11 Å3 |
| Cell temperature | 298 K |
| Ambient diffraction temperature | 298 K |
| Number of distinct elements | 5 |
| Space group number | 2 |
| Hermann-Mauguin space group symbol | P -1 |
| Hall space group symbol | -P 1 |
| Residual factor for all reflections | 0.0897 |
| Residual factor for significantly intense reflections | 0.0592 |
| Weighted residual factors for significantly intense reflections | 0.1408 |
| Weighted residual factors for all reflections included in the refinement | 0.1631 |
| Goodness-of-fit parameter for all reflections included in the refinement | 1.073 |
| Diffraction radiation probe | x-ray |
| Diffraction radiation wavelength | 0.71073 Å |
| Diffraction radiation type | MoKα |
| Has coordinates | Yes |
| Has disorder | No |
| Has Fobs | No |
For the version history of this entry, please navigate to main COD server.
The link is: https://www.crystallography.net/4130070.html
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Users of the data should acknowledge the original authors of the
structural data.