scholarly journals Real-time prediction of 1H and 13C chemical shifts with DFT accuracy using a 3D graph neural network

2021 ◽  
Author(s):  
Yanfei Guan ◽  
S. V. Shree Sowndarya ◽  
Liliana C. Gallegos ◽  
Peter C. St. John ◽  
Robert S. Paton
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Quantum Chemical ◽  
Organic Molecules ◽  
Chemical Shifts ◽  
13C Chemical Shifts ◽  
Time Prediction ◽  
Nmr Data ◽  
Proton Chemical Shifts

From quantum chemical and experimental NMR data, a 3D graph neural network, CASCADE, has been developed to predict carbon and proton chemical shifts. Stereoisomers and conformers of organic molecules can be correctly distinguished.

scholarly journals Real-time Prediction of 1H and 13C Chemical Shifts with DFT accuracy using a 3D Graph Neural Network

2021 ◽  
Author(s):  
Robert Paton ◽  
Yanfei Guan ◽  
Shree Sowndarya SV ◽  
Liliana Gallegos ◽  
Peter St. John
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Chemical Shifts ◽  
13C Chemical Shifts ◽  
Time Prediction

The Molecular Structure of Allenes and Ketenes, XI Semiempirical Calculations of 1H-Chemical Shifts of Allenes

1977 ◽  
Vol 32 (11) ◽  
pp. 1296-1303 ◽  
Author(s):  
W. Runge
Keyword(s):  
Molecular Structure ◽  
Boundary Conditions ◽  
Chemical Shifts ◽  
Quantitative Description ◽  
Algebraic Model ◽  
Coupling Constants ◽  
Semiempirical Calculations ◽  
Proton Coupling ◽  
Nmr Data ◽  
Proton Chemical Shifts

A comparison between calculated and observed values demonstrates that “ansätze” derived from an algebraic model in connection with appropriate boundary conditions are able to account for a quantitative description of the proton chemical shifts of allenes.Correlations of the proton chemical shifts with other NMR data, such as 13C-chemical shifts and one-bond carbon-proton coupling constants, reveal some insigths into the nature of the 1H substituent chemical shifts of alienes.

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