Ara
Toplam kayıt 1627, listelenen: 1621-1627
Theoretical assessment of calix[4]arene-N-beta-ketoimine (n=1-4) derivatives: Conformational studies, optoelectronic, and sensing of Cu(2+)cation
(Springer, 2021)
Herein, we have investigated the key functions of the calix[4]arene, abbreviated as CX [1], and designed its several derivatives by substitution of the functional groups. Molecular geometry provides an intuitive understanding ...
Restricted rotation around the methylene bridge of 5-(2-p-(chlorophenyl)benzimidazole-1-yl)methyl-4-(o-substitutedphenyl)-2,4-dihydro-[1,2,4]-triazole-3-thiones as evidenced by NMR, X-RAY and DFT studies and the importance of low energy rotational conformers
(Elsevier B.V., 2019)
The aim of this study was to clarify the restricted rotation around the –CH2–N bond of the compounds, 5-(2-(p-chlorophenylbenzimidazol-1-yl-methyl)-4-(o-methylphenyl)-2,4-dihydro-[1,2,4]-triazole-3 thione [1], 4-(o-florophenyl)- ...
SYNTHESIS, CHARACTERIZATION, THERMAL, X-RAY, AND DFT ANALYSES OF 6-TERT-BUTYL 3-ETHYL 2-[(3-METHOXY/5-BROMO)-2-HYDROXY AND (3-NITRO/3-METHOXY)BENZYLIDENEAMINO]- 4,5-DIHYDROTHIENO[2,3-C]PYRIDINE-3,6(7H)-DICARBOXYLATE
(Pleiades Publishing Inc, 2021)
In this work, 6-tert-butyl 3-ethyl 2-amino-4,5-dihydrothieno[2,3-c]pyridine-3,6(7H)-dicarboxylate is synthesized from starting tert-butyl 4-oxopiperidine-1-carboxylate, ethyl cyanomalonate, and sulfur, and then, coupled ...
Molecular stabilities, conformational analyses and molecular docking studies of benzimidazole derivatives bearing 1,2,4-triazole as EGFR inhibitors
(Springer/Plenum Publishers, 2021)
A detailed study of the tautomeric properties, the conformations, and the mechanism behind the anti-cancer properties of 5-{[2-(4-methoxyphenyl)-1H-benzimidazol-1-yl]methyl}-4-ethyl-2,4-dihydro-3H-1,2,4-triazole-3-thione ...
Optical characteristics of Bi12SiO20 single crystals by spectroscopic ellipsometry
(Elsevier, 2020)
Structural and optical characteristics of Bi12SiO20 single crystal grown by the Czochralski method were investigated by virtue of X-ray diffraction (XRD) and spectroscopic ellipsometry measurements. XRD analysis indicated ...
A data-driven approach based on deep neural networks for lithium-ion battery prognostics
(Springer London Ltd, 2021)
Remaining useful life estimation is gaining attention in many real-world applications to alleviate maintenance expenses and increase system reliability and efficiency. Deep learning approaches have recently provided a ...
Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
(Pergamon-Elsevier Science Ltd, 2021)
Influenza epidemic is a serious public health problem that has attracted worldwide attention due to cause cases of severe illness, an enormous economic burden, and even deaths worldwide each year. Forecasting influenza ...