The results were seen to be quite compatible with each other.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, the molecular geometry of 4-Cyanostyrene molecule was optimized by using the Hartree–Fock (HF) and density functional theory (DFT/B3LYP) with 6-311G(d,p) basis set in the ground state.
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Temel Bulgular & Veri:After the optimization, infrared vibration bands of 4-Cyanostyrene molecule were calculated by using the Hartree–Fock (HF) and density functional theory (DFT/B3LYP) with 6-311G(d,p) basis set.
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Sonuç & Katkı:The results were seen to be quite compatible with each other.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:4-Cyanostyrene · Harteree-Fock (HF) · density functional theory (DFT)
Abstract
In this study, the molecular geometry of 4-Cyanostyrene molecule was optimized by using the Hartree–Fock (HF) and density functional theory (DFT/B3LYP) with 6-311G(d,p) basis set in the ground state. After the optimization, infrared vibration bands of 4-Cyanostyrene molecule were calculated by using the Hartree–Fock (HF) and density functional theory (DFT/B3LYP) with 6-311G(d,p) basis set. The theoretically calculated vibrational frequencies were multiplied by a scalar factor to correlate to experimental results. These theoretically obtained frequencies were compared exactly with the experimental results of 4-Cyanostyrene. All calculated frequencies were discussed. Finally, the correlation graphs of the theoretical and experimental results were obtained. The results were seen to be quite compatible with each other.
ARICI, K., YILMAZ, R. (2020). Calculation of the infrared spectrum of 4-Cyanostyrene by Hartree-Fock (HF) and Density Functional Theory (DFT). International Journal of Chemistry and Technology, Cilt: 4 - Sayı: 2, 156–161. https://ajindex.com/articles/765670
Rappaport, S. M.; Yeowell-O'Connell, K.; Bodell, W.; Yager, J. W.; Symanski, E. Cancer Res. 1996, 56 (23), 5410-5416
Kogevinas, M.; Ferro, G.; Andersen, A. et al. Scand. J. Work Env. Hea. 1994, 20 (4), 251-261
Coggon, D.; Ntani, G.; Harris, E. C.; Palmer, K. T. Occup. Environ. Med. 2015, 72 (3), 165-170
Christensen, M. S.; Vestergaard, J. M.; d’Amore, F. et al. Epidemiology 2018, 29 (3), 342-351
Collins, J. J.; Bodner, K. M.; Bus, J. S. Epidemiology 2013, 24 (2), 195-203
Nissen, M. S.; Stokholm, Z. A.; Christensen, M. S.; Schlünssen, V.; Vestergaard, J. M.; Iversen, I. B.; Kolstad, H. A. Occup. Environ. Med. 2018, 75 (6), 412-414
Cruzan, G.; Bus, J. S.; Banton, M. I.; Sarang, S. S.; Waites, R.; Layko, D. B.; Raymond, J.; Dodd, D.; Andersen, M. E. Toxicol. Sci. 2017, 159 (2), 413-421
Cruzan, G.; Cushman, J. R.; Andrews, L.S.; et al. J. Appl Toxicol. 2001, 21 (3), 185–198
Ponomarkov, V.; Tomatis, L. Scand. J. Work Environ. Hea. 1978, 4 (2), 127–135
Conti, B.; Maltoni, C.; Perino, G.; Ciliberti, A. Ann. NY Acad. Sci. 1988, 534 (1), 203-234
Hollas, J. M.; Khalilipour, E.; Thakur, S. N. J. Mol. Spectrosc. 1978, 73 (2), 240-265
Zilberg, S.; Haas, Y. J. Chem. Phys. 1995, 103 (1), 20-36
Bock, C. W.; Trachtman, M.; George, P. Chem. Phys. 1985, 83 (3), 431-443
Frisch, M. J.; Trucks, G. W. Schlegel, H. B. et al. GAUSSIAN 09: Revision C.02 (Pittsburg, PA: Gaussian Inc.) 2009