scholarly journals En Route to European Journals of Inorganic and Organic Chemistry

1997 ◽  
Vol 1997 (1) ◽  
pp. A1-A1
Author(s):  
Jan B. F. N. Engberts ◽  
Klaus Hafner ◽  
Henning Hopf
Keyword(s):  
Organic Chemistry ◽  
Inorganic And Organic

Aryl-substituted Triarsiranes: Synthesis and Reactivity

2020 ◽  
Author(s):  
André Schumann ◽  
Jonas Bresien ◽  
Malte Fischer ◽  
Christian Hering-Junghans
Keyword(s):  
Organic Chemistry ◽  
Electronic Structure ◽  
Heterocyclic Carbenes ◽  
Synthetic Approaches ◽  
Inorganic And Organic

Cyclotriarsanes are rare and limited synthetic approaches have hampered reactivity studies on these systems. Described in here is a scalable synthetic protocol towards (AsAr)<sub>3</sub> (Ar = Dip, 2,6-<sup>i</sup>Pr<sub>2</sub>-C<sub>6</sub>H<sub>3</sub>; Tip, 2,4,6-<sup>i</sup>Pr<sub>3</sub>-C<sub>6</sub>H<sub>2</sub>), which allowed to study their reactivity towards [Cp<sub>2</sub>Ti(C<sub>2</sub>(SiMe<sub>3</sub>)<sub>2</sub>], affording titanocene diarsene complexes and towards N-heterocyclic carbenes (NHCs) to give straightforward access to a variety of NHC-arsinidene adducts. The electronic structure of the titanium diarsene complxes has been studied and they are best described as Ti(IV) species with a doubly reduced As<sub>2</sub>Ar<sub>2</sub> ligand. These findings will make (AsAr)<sub>3</sub> valuable precursors in the synthetic inorganic and organic chemistry.

scholarly journals A quantitative uncertainty metric controls error in neural network-driven chemical discovery

2019 ◽  
Vol 10 (34) ◽  
pp. 7913-7922 ◽  
Author(s):  
Jon Paul Janet ◽  
Chenru Duan ◽  
Tzuhsiung Yang ◽  
Aditya Nandy ◽  
Heather J. Kulik
Keyword(s):  
Organic Chemistry ◽  
Neural Network ◽  
Machine Learning ◽  
Learning Model ◽  
Model Errors ◽  
Machine Learning Model ◽  
Predictive Approach ◽  
Inorganic And Organic

A predictive approach for driving down machine learning model errors is introduced and demonstrated across discovery for inorganic and organic chemistry.

Report ICDD-Workshop Advanced Method for X-Ray Diffraction (26–30 November, Cordoba, Argentine)

2002 ◽  
Vol 17 (2) ◽  
pp. 153-153
Author(s):  
Silvia Cuffini ◽  
James Kaduk
Keyword(s):  
Organic Chemistry ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Materials Science ◽  
Powder Diffraction Data ◽  
X Ray Diffraction ◽  
Advanced Method ◽  
X Ray ◽  
Methods Of Analysis ◽  
Inorganic And Organic

The workshop was aimed at demonstrating the uses and methods of analysis of powder diffraction data collected from X-ray sources. There were around 35 participants in the workshop from Chile, Uruguay, Brazil, and Argentine. The participants came from inorganic and organic chemistry, physics, mineralogy and materials science backgrounds, and additionally we had attendees from a local cement company.

scholarly journals Aryl-substituted Triarsiranes: Synthesis and Reactivity

2020 ◽  
Author(s):  
André Schumann ◽  
Jonas Bresien ◽  
Malte Fischer ◽  
Christian Hering-Junghans
Keyword(s):  
Organic Chemistry ◽  
Electronic Structure ◽  
Heterocyclic Carbenes ◽  
Synthetic Approaches ◽  
Inorganic And Organic

Cyclotriarsanes are rare and limited synthetic approaches have hampered reactivity studies on these systems. Described in here is a scalable synthetic protocol towards (AsAr)<sub>3</sub> (Ar = Dip, 2,6-<sup>i</sup>Pr<sub>2</sub>-C<sub>6</sub>H<sub>3</sub>; Tip, 2,4,6-<sup>i</sup>Pr<sub>3</sub>-C<sub>6</sub>H<sub>2</sub>), which allowed to study their reactivity towards [Cp<sub>2</sub>Ti(C<sub>2</sub>(SiMe<sub>3</sub>)<sub>2</sub>], affording titanocene diarsene complexes and towards N-heterocyclic carbenes (NHCs) to give straightforward access to a variety of NHC-arsinidene adducts. The electronic structure of the titanium diarsene complxes has been studied and they are best described as Ti(IV) species with a doubly reduced As<sub>2</sub>Ar<sub>2</sub> ligand. These findings will make (AsAr)<sub>3</sub> valuable precursors in the synthetic inorganic and organic chemistry.

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