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Optimization of parameters for semiempirical methods I. Method

Journal of Computational Chemistry · 1989 · Vol. 10(2) · pp. 209–220
James J. P. Stewart

Abstract

Abstract A new method for obtaining optimized parameters for semiempirical methods has been developed and applied to the modified neglect of diatomic overlap (MNDO) method. The method uses derivatives of calculated values for properties with respect to adjustable parameters to obtain the optimized values of parameters. The large increase in speed is a result of using a simple series expression for calculated values of properties rather than employing full semiempirical calculations. With this optimization procedure, the rate‐determining step for parameterizing elements changes from the mechanics of parameterization to the assembling of experimental reference data.

Thermodynamic and Structural Properties of Metals and AlloysNuclear Physics and ApplicationsNuclear Materials and PropertiesMNDODiatomic moleculeSimple (philosophy)Series (stratigraphy)Expression (computer science)Applied mathematicsComputational chemistryComputer scienceMathematicsChemistry
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References
Ground states of molecules. 38. The MNDO method. Approximations and parameters
Journal of the American Chemical Society · 1977 · 5,122 citations
Conditioning of quasi-Newton methods for function minimization
Mathematics of Computation · 1970 · 3,602 citations
A family of variable-metric methods derived by variational means
Mathematics of Computation · 1970 · 3,092 citations
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