Electronic Densities in Molecules, Chemical Bonds and Chemical Reactions

Author(s):  
R. Daudel
2019 ◽  
Author(s):  
john andraos

<p>An effective pedagogical method is presented for the visual communication of chemical reactions learned in organic chemistry undergraduate courses. The basis for the method is the preservation of the visual aspect of reactant and product structures so that the tracking of cleaved and formed chemical bonds is made self-evident. This consequently leads to improved clarity of presentation and a better understanding and grasp of proposed reaction mechanisms to explain product outcomes. The method is demonstrated for a variety of individual reaction types and synthesis plans. Various visual training exercises are also presented using ChemDraw Ultra 7.0 software and literature table of contents (TOC) graphics appearing in journal articles.</p><br>


1992 ◽  
Vol 57 (6) ◽  
pp. 1177-1185
Author(s):  
Robert Ponec ◽  
Martin Strnad

The Julg's concept of chemical bond as a region of small charge fluctuation was generalized by incorporating into the framework of recently proposed overlap determinant method. The resulting generalization allowing a simple theoretical description of structural transformation in terms close to classical picture of disappearing and newly formed chemical bonds was applied to the analysis of several selected pericyclic reactions both allowed and forbidden. The forbidden reactions were shown to be accompanied by deeper charge fluctuations than the allowed ones.


1964 ◽  
Vol 42 (8) ◽  
pp. 1792-1810
Author(s):  
Pierre A. Bois D'enghien ◽  
Jacques M. Deckers

A technique is described which permits the study of changes in the spectra emitted by fast flowing reacting gas mixtures in the plasma of the positive column of a weak d-c. glow discharge. In certain cases a quantitative relationship is shown to exist between the concentration of a species and the intensity of emission of its spectrum. In particular such a correlation exists between the emission intensity of CO and its concentration. Use of this fact is then made to follow the rate of formation of carbon monoxide in methane–oxygen mixtures flowing through a discharge. The mechanism of formation of the various emitters either by means of a chemical reaction or by electron impact on molecules or radicals is discussed. It is concluded that to account for the rate of formation of CO, at least in the early stages of the presence of the gases in the discharge, before the steady state concentrations of atoms, radicals, and molecules have been approached, most of the energy of the electrons is used in breaking chemical bonds. The electric Held values needed to impart the necessary amount of energy to the electrons are of the same magnitude as those measured in this laboratory (~60 V cm−1).


This chapter focuses on the chemical foundations of life. Matter is made up of elements classified into major and minor elements. Elements are made up of atoms which in turn are made up of sub-atomic particles called protons, electrons and neutrons. Chemical bonds are unions of electron structures when atoms lose, gain or share one or more electrons with other atoms. Water is important to life and has unique properties making it ideal to life on Earth. The pH of a substance is a measure of the balance between H+ and OH- ions ranging from 0 to 14 on a log scale. Most metabolic reactions that maintain life occur in living organisms involve five types of chemical reactions. Macromolecules are large complex molecules made up of repeating units (monomers) of sometimes the same molecule or of different molecules joined together by chemical bonds to form very long chains (polymers).


2019 ◽  
Author(s):  
john andraos

<p>An effective pedagogical method is presented for the visual communication of chemical reactions learned in organic chemistry undergraduate courses. The basis for the method is the preservation of the visual aspect of reactant and product structures so that the tracking of cleaved and formed chemical bonds is made self-evident. This consequently leads to improved clarity of presentation and a better understanding and grasp of proposed reaction mechanisms to explain product outcomes. The method is demonstrated for a variety of individual reaction types and synthesis plans. Various visual training exercises are also presented using ChemDraw Ultra 7.0 software and literature table of contents (TOC) graphics appearing in journal articles.</p><br>


Author(s):  
Yonghe Zhang

Ionocovalency theory is defined “…everything exists in ionocovalency, the harmony of ionic energy with the covalent environment.” The authors have succeeded in thoroughly studying ionic energy part of the ionocovalent theory, and will now focus target on the covalent environment part of the theory. The essence of chemical reactions and chemical bonds is the overlap of atomic orbitals, the electron density or the ionocovalent potential. The covalent radius rc is the unique parameter that can be considered as an atomic property derived from molecules for data reduction and can be assigned to the atoms interacting in molecules. In the present study, A new application view of covalent radii of multidimensional world is revealed by the ionocovalency theory which can quantitatively describe the chemical phenomena and qualitatively correlates to the universal observations.


2020 ◽  
Author(s):  
Gabriel dos Passos Gomes ◽  
Robert Pollice ◽  
Alan Aspuru-Guzik

<div><div><div><p>The ability to forge difficult chemical bonds through catalysis has transformed society on all fronts, from feeding our ever-growing populations to increasing our life-expectancies through the synthesis of new drugs. However, developing new chemical reactions and catalytic systems is a tedious task that requires tremendous discovery and optimization efforts. Over the past decade, advances in machine learning have revolutionized a whole new way to approach data- intensive problems, and many of these developments have started to enter chemistry. However, similar progress in the field of homogenous catalysis are only in their infancy. In this article, we want to outline our vision for the future of catalyst design and the role of machine learning to navigate this maze.</p></div></div></div>


2020 ◽  
Author(s):  
Gabriel dos Passos Gomes ◽  
Robert Pollice ◽  
Alan Aspuru-Guzik

<div><div><div><p>The ability to forge difficult chemical bonds through catalysis has transformed society on all fronts, from feeding our ever-growing populations to increasing our life-expectancies through the synthesis of new drugs. However, developing new chemical reactions and catalytic systems is a tedious task that requires tremendous discovery and optimization efforts. Over the past decade, advances in machine learning have revolutionized a whole new way to approach data- intensive problems, and many of these developments have started to enter chemistry. However, similar progress in the field of homogenous catalysis are only in their infancy. In this article, we want to outline our vision for the future of catalyst design and the role of machine learning to navigate this maze.</p></div></div></div>


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