scholarly journals A Mechanistic Study on the Tautomerism of H-Phosphonates, H-Phosphinates and Secondary Phosphine Oxides

Molecules ◽  
2019 ◽  
Vol 24 (21) ◽  
pp. 3859 ◽  
Author(s):  
Daniella Vincze ◽  
Péter Ábrányi-Balogh ◽  
Péter Bagi ◽  
György Keglevich
Keyword(s):  
Molecular Descriptors ◽  
Substituent Effects ◽  
Building Blocks ◽  
Mechanistic Study ◽  
Secondary Phosphine ◽  
Phosphine Oxides ◽  
Dft Methods ◽  
Implicit Solvents ◽  
Different Levels ◽  
P Ligands

H-phosphonates, H-phosphinates and secondary phosphine oxides may be preligands, and are important building blocks in the synthesis of pharmaceuticals, pesticides, and P-ligands. The prototropic tautomerism influenced by substituent effects plays an important role in the reactivity of these species. The main goal of our research was to study the tautomerism of the >P(O)H reagents by means of computational investigations applying several DFT methods at different levels. We focused on the effect of implicit solvents, and on explaining the observed trends with physical chemical molecular descriptors. In addition, multiple reaction pathways incorporating three P-molecules were elucidated for the mechanism of the interconversion.

Assessment of the Electronic Properties of P ligands Stemming from Secondary Phosphine Oxides

2011 ◽  
Vol 17 (45) ◽  
pp. 12729-12740 ◽  
Author(s):  
David Martin ◽  
Delphine Moraleda ◽  
Thierry Achard ◽  
Laurent Giordano ◽  
Gérard Buono
Keyword(s):  
Electronic Properties ◽  
Secondary Phosphine ◽  
Phosphine Oxides ◽  
P Ligands

Asymmetric Synthesis of P-Stereogenic Secondary Phosphine Oxides (SPOs)

Synthesis ◽  
2021 ◽  
Author(s):  
David Glueck
Keyword(s):  
Metal Complexes ◽  
Asymmetric Synthesis ◽  
Asymmetric Catalysis ◽  
Building Blocks ◽  
Short Review ◽  
Secondary Phosphine ◽  
Phosphine Oxides

P-stereogenic secondary phosphine oxides (SPOs, PHRR’(O)), valuable ligands for metal complexes in asymmetric catalysis, are also building blocks for other chiral phosphorus derivatives. This short review summarizes methods used for asymmetric synthesis of P-stereogenic SPOs.

Thermal stability of primary and secondary phosphine oxides formed as a reaction of phosphine oxide with ketones

2016 ◽  
Vol 191 (11-12) ◽  
pp. 1480-1481 ◽  
Author(s):  
E. V. Gorbachuk ◽  
E. K. Badeeva ◽  
S. A. Katsyuba ◽  
P. O. Pavlov ◽  
Kh. R. Khayarov ◽  
...  
Keyword(s):  
Thermal Stability ◽  
Phosphine Oxide ◽  
Secondary Phosphine ◽  
Phosphine Oxides ◽  
Thermal Stability Of

Preparation of Optically Pure Tertiary Phosphine Oxides via the Addition ofP-Stereogenic Secondary Phosphine Oxide to Activated Alkenes

2016 ◽  
Vol 81 (17) ◽  
pp. 7644-7653 ◽  
Author(s):  
Ji-Ping Wang ◽  
Shao-Zhen Nie ◽  
Zhong-Yang Zhou ◽  
Jing-Jing Ye ◽  
Jing-Hong Wen ◽  
...  
Keyword(s):  
Phosphine Oxide ◽  
Secondary Phosphine ◽  
Phosphine Oxides ◽  
Tertiary Phosphine ◽  
Optically Pure

Event Detection in Sports Video Based on Generative-Discriminative Models

2011 ◽  
pp. 143-165
Author(s):  
Guoliang Fan ◽  
Yi Ding
Keyword(s):  
Event Detection ◽  
Semantic Analysis ◽  
Building Blocks ◽  
Semantic Space ◽  
Sports Video ◽  
Low Level ◽  
Discriminative Models ◽  
Video Mining ◽  
High Level ◽  
Different Levels

Semantic event detection is an active and interesting research topic in the field of video mining. The major challenge is the semantic gap between low-level features and high-level semantics. In this chapter, we will advance a new sports video mining framework where a hybrid generative-discriminative approach is used for event detection. Specifically, we propose a three-layer semantic space by which event detection is converted into two inter-related statistical inference procedures that involve semantic analysis at different levels. The first is to infer the mid-level semantic structures from the low-level visual features via generative models, which can serve as building blocks of high-level semantic analysis. The second is to detect high-level semantics from mid-level semantic structures using discriminative models, which are of direct interests to users. In this framework we can explicitly represent and detect semantics at different levels. The use of generative and discriminative approaches in two different stages is proved to be effective and appropriate for event detection in sports video. The experimental results from a set of American football video data demonstrate that the proposed framework offers promising results compared with traditional approaches.

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