Results 211 to 220 of about 100,963 (264)
Quantum Mechanics in Drug Discovery: A Comprehensive Review of Methods, Applications, and Future Directions. [PDF]
Niazi SK.
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Molecular modeling to simulation: insights into Gaussian QSAR, molecular docking, and DFT for identification of HDAC3 inhibitors for neurocognitive vascular dementia. [PDF]
Halder D +4 more
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Quantum neural networks meet federated learning for DNA mutation prediction. [PDF]
Messinis S +6 more
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Theoretical insights into the optoelectronic and charge-transfer characteristics of 5-(1H-1,2,4-triazol-1-yl)-2-thiophenecarboxylic acid. [PDF]
Kebiroglu MH.
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Bridging traditional and contemporary approaches in computational medicinal chemistry: opportunities for innovation in drug discovery. [PDF]
de Oliveira AS.
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Proceedings of the Combustion Institute, 2021
Abstract As ketene is a crucial intermediate for the high-temperature combustion of oxygenated hydrocarbons in general, an in-depth understanding of its chemistry is a fundamental requirement for the kinetic modeling of bio-based fuels. To gain a profound insight into the decomposition of ketene and subsequent reaction pathways high level ab initio ...
Heiko Minwegen +4 more
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Abstract As ketene is a crucial intermediate for the high-temperature combustion of oxygenated hydrocarbons in general, an in-depth understanding of its chemistry is a fundamental requirement for the kinetic modeling of bio-based fuels. To gain a profound insight into the decomposition of ketene and subsequent reaction pathways high level ab initio ...
Heiko Minwegen +4 more
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Chemical Engineering Science, 2022
Abstract The kinetic rate constant of volatile organic compounds (VOCs) degradation represents an important parameter, which is valuable for evaluating the degradation efficiency and ecological risk of pollutants. In this study, the multiple-linear-regression method using quantum chemical and norm descriptors is utilized to develop a room-temperature
Yajuan Shi +6 more
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Abstract The kinetic rate constant of volatile organic compounds (VOCs) degradation represents an important parameter, which is valuable for evaluating the degradation efficiency and ecological risk of pollutants. In this study, the multiple-linear-regression method using quantum chemical and norm descriptors is utilized to develop a room-temperature
Yajuan Shi +6 more
openaire +1 more source
The Journal of Physical Chemistry A, 2014
Time-dependent density functional theory (TD-DFT) and electron propagator theory (EPT) are used to calculate the electronic transition energies and ionization energies, respectively, of species containing phosphorus or sulfur. The accuracy of TD-DFT and EPT, in conjunction with various basis sets, is assessed with data from gas-phase spectroscopy.
David K, Hahn +2 more
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Time-dependent density functional theory (TD-DFT) and electron propagator theory (EPT) are used to calculate the electronic transition energies and ionization energies, respectively, of species containing phosphorus or sulfur. The accuracy of TD-DFT and EPT, in conjunction with various basis sets, is assessed with data from gas-phase spectroscopy.
David K, Hahn +2 more
openaire +2 more sources

