Dendral and Congen
Developed in 1980, The DENDRAL Project delt with analysis of molecular structure in organic chemistry. The chemical and physical properties of compounds are determined not just by their constituent atoms, but by the arrangement of these atoms as well. The CONGEN program implements the general (acyclic and cyclic) generation algorithm in a system that allows a chemist to constrain its enumeration in a variety of ways.
The MatterHorn Materials Discovery Database
An artificial neural network cascade, containing 16 individual neural network modules and approximately 1,000 processing units, has produced an interactive database containing a broad range of chemical and physical properties for nearly a quarter million potential binary and ternary chemical systems.
Dendral and Congen
Developed in 1980, The DENDRAL Project delt with analysis of molecular structure in organic chemistry. The chemical and physical properties of compounds are determined not just by their constituent atoms, but by the arrangement of these atoms as well. The CONGEN program implements the general (acyclic and cyclic) generation algorithm in a system that allows a chemist to constrain its enumeration in a variety of ways.
The MatterHorn Materials Discovery Database
An artificial neural network cascade, containing 16 individual neural network modules and approximately 1,000 processing units, has produced an interactive database containing a broad range of chemical and physical properties for nearly a quarter million potential binary and ternary chemical systems.
Dendral and Congen
Developed in 1980, The DENDRAL Project delt with analysis of molecular structure in organic chemistry. The chemical and physical properties of compounds are determined not just by their constituent atoms, but by the arrangement of these atoms as well. The CONGEN program implements the general (acyclic and cyclic) generation algorithm in a system that allows a chemist to constrain its enumeration in a variety of ways.
The MatterHorn Materials Discovery Database
An artificial neural network cascade, containing 16 individual neural network modules and approximately 1,000 processing units, has produced an interactive database containing a broad range of chemical and physical properties for nearly a quarter million potential binary and ternary chemical systems.
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