ChemInform Abstract: Fast Determination of 13C NMR Chemical Shifts Using Artificial Neural Networks.

ChemInform ◽  
2001 ◽  
Vol 32 (2) ◽  
pp. no-no
Author(s):  
J. Meiler ◽  
R. Meusinger ◽  
M. Will
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
13C Nmr ◽  
Chemical Shifts ◽  
Fast Determination ◽  
Nmr Chemical Shifts ◽  
13C Nmr Chemical Shifts ◽  
Artificial Neural

Determination of second-order association constants by global analysis of 1H and 13C NMR chemical shifts.

Steroids ◽  
2003 ◽  
Vol 68 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Wajih Al-Soufi ◽  
Pedro Ramos Cabrer ◽  
Aida Jover ◽  
Rosane M. Budal ◽  
José Vázquez Tato
Keyword(s):  
13C Nmr ◽  
Chemical Shifts ◽  
Global Analysis ◽  
Association Constants ◽  
Second Order ◽  
1H And 13C Nmr ◽  
Nmr Chemical Shifts ◽  
13C Nmr Chemical Shifts

The determination of the stereochemistry of epoxides located at the 5,6-positions of decalinic systems: An empirical method based on 13C NMR chemical shifts

2002 ◽  
Vol 80 (7) ◽  
pp. 774-778 ◽  
Author(s):  
Raquel M Cravero ◽  
Guillermo R Labadie ◽  
Manuel González Sierra
Keyword(s):  
13C Nmr ◽  
Nmr Spectra ◽  
Chemical Shifts ◽  
Empirical Method ◽  
Nmr Chemical Shifts ◽  
13C Nmr Chemical Shifts ◽  
Empirical Rule ◽  
C Nmr

The 13C NMR spectra of a series of 5,6-epoxides in decalinic systems were studied. The interpretation of the chemical shifts allowed us to formulate an empirical rule to predict the epoxide stereochemistry. A discussion of the scope and limitations of this method and its extension to larger carbon skeletons is also presented.Key words: epoxide stereochemistry, 13C NMR, NMR, decalinic systems, oxiranes.

Apply Artificial Neural Networks to Estimate Stress Distribution around Holes Edge in Composites

2012 ◽  
Vol 490-495 ◽  
pp. 3105-3108
Author(s):  
Kamran Pazand ◽  
Younes Alizadeh
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Stress Distribution ◽  
Composite Laminates ◽  
Composite Plate ◽  
Input Data ◽  
Data Sets ◽  
Fast Determination ◽  
Artificial Neural

The purpose of this paper is to estimate the fast determination of stress distribution around a circular hole in symmetric composite laminates under in-plane loading. For this purpose calculation of stress values in the composite plate around edge holes in different plies position for a finite number of input data sets using the Lekhnitskii expressions and code program. The resulting data would then be used to train artificial neural networks (ANN) which would be able to predict –accurately enough- those quantities throughout the composite plate body for any given input value in any position ply and fore and stress that impose.

Sign in / Sign up

Export Citation Format

Share Document