scholarly journals Analysis by kinetic modeling of the temperature dependence of thermal electron attachment to CF3Br

2012 ◽  
Vol 137 (2) ◽  
pp. 024303 ◽  
Author(s):  
Jürgen Troe ◽  
Thomas M. Miller ◽  
Nicholas S. Shuman ◽  
Albert A. Viggiano
Keyword(s):  
Temperature Dependence ◽  
Kinetic Modeling ◽  
Electron Attachment ◽  
Thermal Electron

scholarly journals Pressure and temperature dependence of dissociative and non-dissociative electron attachment to CF3: Experiments and kinetic modeling

2011 ◽  
Vol 135 (5) ◽  
pp. 054306 ◽  
Author(s):  
Nicholas S. Shuman ◽  
Thomas M. Miller ◽  
Jeffrey F. Friedman ◽  
Albert A. Viggiano ◽  
Anatol I. Maergoiz ◽  
...  
Keyword(s):  
Temperature Dependence ◽  
Kinetic Modeling ◽  
Electron Attachment ◽  
Dissociative Electron Attachment

On the Temperature Dependence of the Thermal Electron Attachment to SF6, SF5Cl, and POCl3

2011 ◽  
Vol 225 (11-12) ◽  
pp. 1405-1416 ◽  
Author(s):  
Hans-Jürgen Troe ◽  
Gerd Marowsky ◽  
Nicholas S. Shuman ◽  
Thomas M. Miller ◽  
Albert A. Viggiano
Keyword(s):  
Temperature Dependence ◽  
Electron Attachment ◽  
Thermal Electron

Thermal electron attachment to sulfur tetrafluoride

1982 ◽  
Vol 86 (8) ◽  
pp. 1240-1242 ◽  
Author(s):  
Lucia M. Babcock ◽  
Gerald E. Streit
Keyword(s):  
Electron Attachment ◽  
Thermal Electron ◽  
Sulfur Tetrafluoride

Thermal electron attachment to CHF2CL in mixtures with CO2 and N2

1996 ◽  
Vol 48 (1) ◽  
pp. 65-68 ◽  
Author(s):  
I. Szamrej ◽  
J. Jówko ◽  
M. Foryś
Keyword(s):  
Electron Attachment ◽  
Thermal Electron

Calculations of the active mode and energetic barrier to electron attachment to CF3 and comparison with kinetic modeling of experimental results

2016 ◽  
Vol 18 (45) ◽  
pp. 31064-31071 ◽  
Author(s):  
Huixian Han ◽  
Benjamin Alday ◽  
Nicholas S. Shuman ◽  
Justin P. Wiens ◽  
Jürgen Troe ◽  
...  
Keyword(s):  
Neural Network ◽  
Potential Energy ◽  
Ab Initio ◽  
Kinetic Modeling ◽  
Potential Energy Surfaces ◽  
Electron Attachment ◽  
Invariant Polynomial ◽  
Active Mode ◽  
Polynomial Neural Network ◽  
Energy Surfaces

Six-dimensional potential energy surfaces of both CF3 and CF3− were developed by fitting ∼3000 ab initio points using the permutation invariant polynomial-neural network (PIP-NN) approach.

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