A Combined Density Functional Theory and Coupled Cluster Method Investigation of the Structural Properties and Stabilities of Radical CH2CP and Its Isomers

2006 ◽  
Vol 110 (7) ◽  
pp. 2411-2420 ◽  
Author(s):  
Hai-tao Yu ◽  
Ming-xia Li ◽  
Ke-li Han
Keyword(s):  
Density Functional Theory ◽  
Structural Properties ◽  
Density Functional ◽  
Cluster Method ◽  
Coupled Cluster ◽  
Coupled Cluster Method ◽  
Functional Theory

Mechanism of the addition of alkynes to silenes and germenes: A density functional study

2015 ◽  
Vol 93 (1) ◽  
pp. 134-142 ◽  
Author(s):  
Laura C. Pavelka ◽  
Margaret A. Hanson ◽  
Viktor N. Staroverov ◽  
Kim M. Baines
Keyword(s):  
Experimental Data ◽  
Density Functional Theory ◽  
Density Functional ◽  
Reaction Pathway ◽  
Cluster Method ◽  
Functional Study ◽  
Coupled Cluster ◽  
Computational Results ◽  
Coupled Cluster Method ◽  
Functional Theory

Density functional theory (DFT) and the coupled cluster method have been used to study the mechanism of the cycloaddition of acetylene to silene, H2Si=CH2, and germene, H2Ge=CH2, at the B3LYP/6-311++G(d,p) and CCSD/6-311++G(d,p) levels of theory. Diradical, zwitterionic, and concerted pathways were located for both metallenes. The computational results were compared to experimental data to propose the most likely reaction pathway for each metallene.

scholarly journals Active binary switching of soft colloids: stability and structural properties

Soft Matter ◽  
2021 ◽  
Author(s):  
Michael Bley ◽  
Joachim Dzubiella ◽  
Arturo Moncho Jorda
Keyword(s):  
Density Functional Theory ◽  
Phase Behavior ◽  
Structural Properties ◽  
Brownian Dynamics ◽  
Density Functional ◽  
Equilibrium Structure ◽  
Functional Theory ◽  
Binary Switching ◽  
Soft Colloids ◽  
Non Equilibrium

We employ reactive dynamical density functional theory (R-DDFT) and reactive Brownian dynamics (R-BD) simulations to study the non-equilibrium structure and phase behavior of an active dispersion of soft Gaussian colloids...

scholarly journals A computational study for the reaction mechanism of metal-free cyanomethylation of aryl alkynoates with acetonitrile

RSC Advances ◽  
2021 ◽  
Vol 11 (30) ◽  
pp. 18246-18251
Author(s):  
Selçuk Eşsiz
Keyword(s):  
Density Functional Theory ◽  
Reaction Mechanism ◽  
Density Functional ◽  
Computational Study ◽  
Coupled Cluster ◽  
Functional Theory ◽  
Metal Free ◽  
Coupled Cluster Methods ◽  
High Level ◽  
Cluster Methods

A computational study of metal-free cyanomethylation and cyclization of aryl alkynoates with acetonitrile is carried out employing density functional theory and high-level coupled-cluster methods, such as [CCSD(T)].

Global minima and structural properties of Au-Fe nanoalloys from a Mexican Enhanced Genetic Algorithm-based Density Functional Theory

2021 ◽  
pp. 138675
Author(s):  
Manal Abed Mohammed ◽  
Heider A. Abdulhussein ◽  
Muhsen Abood Muhsen Al-ibadi ◽  
Rajesh Kumar Raju ◽  
Roy L. Johnston
Keyword(s):  
Genetic Algorithm ◽  
Density Functional Theory ◽  
Structural Properties ◽  
Density Functional ◽  
Global Minima ◽  
Functional Theory

scholarly journals The ANI-1ccx and ANI-1x Data Sets, Coupled-Cluster and Density Functional Theory Properties for Molecules

2020 ◽  
Author(s):  
Justin S. Smith ◽  
Roman Zubatyuk ◽  
Benjamin T. Nebgen ◽  
Nicholas Lubbers ◽  
Kipton Barros ◽  
...  
Keyword(s):  
Density Functional Theory ◽  
Potential Energy Surfaces ◽  
Density Functional ◽  
Atomic Charge ◽  
Density Functional Theory Calculations ◽  
Coupled Cluster ◽  
Data Sets ◽  
Data Set ◽  
Functional Theory ◽  
Energy Surfaces

<p>Maximum diversification of data is a central theme in building generalized and accurate machine learning (ML) models. In chemistry, ML has been used to develop models for predicting molecular properties, for example quantum mechanics (QM) calculated potential energy surfaces and atomic charge models. The ANI-1x and ANI-1ccx ML-based eneral-purpose potentials for organic molecules were developed through active learning; an automated data diversification process. Here, we describe the ANI-1x and ANI-1ccx data sets. To demonstrate data set diversity, we visualize them with a dimensionality reduction scheme, and contrast against existing data sets. The ANI-1x data set contains multiple QM properties from 5M density functional theory calculations, while the ANI-1ccx data set contains 500k data points obtained with an accurate CCSD(T)/CBS extrapolation. Approximately 14 million CPU core-hours were expended to generate this data. Multiple QM properties from density functional theory and coupled cluster are provided: energies, atomic forces, multipole moments, atomic charges, and more. We provide this data to the community to aid research and development of ML models for chemistry.</p>

Density functional theory study on the structural, reactivity, and electronic properties of all mono-, di-, tri-, tetra-, and penta-fluoroanilines as monomers for conducting polymers

2012 ◽  
Vol 90 (10) ◽  
pp. 902-914 ◽  
Author(s):  
Hossein Shirani Il Beigi
Keyword(s):  
Density Functional Theory ◽  
Conducting Polymers ◽  
Structural Properties ◽  
Density Functional ◽  
Dipole Moments ◽  
Radical Cations ◽  
The Other ◽  
Functional Theory ◽  
Density Distributions ◽  
Electric Polarizabilities

Electrical and structural properties of mono-, di-, tri-, tetra-, and penta-fluoroanilines as candidate monomers for new conducting polymers have been investigated using hybrid density functional theory (B3LYP/6–311+G**) based methods. The effects of the number and position of the fluorine atoms on the electrical and structural properties of fluoroanilines and their radical cations have also been investigated. The values of the vibrational frequencies, charge and spin-density distributions, ionization potentials, dipole moments, electric polarizabilities, HOMO-LUMO gaps, and the NICS values of these compounds have been calculated and analyzed as well. The results showed that the double bonds in 2-fluoroaniline and 2,5-difluoroaniline are more delocalized compared with other fluoroanilines; therefore, these molecules have the most aptitude for the electropolymerization reactions. The frequency analysis showed that the electrochemical stability of 2-fluoroaniline is greater than the other fluoroanilines. Also, this molecule possesses the largest NICS value compared to the other fluoroanilines. Consequently, 2-fluoroaniline has the largest ring current and the highest conductivity among all other monomers. Based on the results obtained, 2-fluoroaniline and 2,5-difluoroaniline are the best candidate monomers among all fluoroanilines for the synthesis of corresponding conducting polymers.

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