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- W2186827159 abstract "The abilityto predict properties of molecules prior to their synthesis can be of great importance in optimizing their design. Substantial savingsin time as wellas cost can be achievedif some desired properties can be predicted prior to the synthesis of the molecule. The outer orbitals of a molecule are primarily responsible for many differentproperties of the molecules.These outer orbital parameters can be utilized by an intelligent computing system like an Artificial Neural Network to extract necessary knowledge about the properties of the molecule. An ArtificialNeural Network was trained to extract electricalparameters of severalpolymers. The former was then tested using a number of moleculesset aside (not used in training) solely for this purpose." @default.
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- W2186827159 date "1997-01-01" @default.
- W2186827159 modified "2023-09-28" @default.
- W2186827159 title "Artificial Neural Networks Used to Predict Electrical Properties of Polymers" @default.
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