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Optimization of parameters for semiempirical methods II. Applications

Journal of Computational Chemistry · 1989 · Vol. 10(2) · pp. 221–264
James J. P. Stewart

Abstract

Abstract MNDO/AM1‐type parameters for twelve elements have been optimized using a newly developed method for optimizing parameters for semiempirical methods. With the new method, MNDO‐PM3, the average difference between the predicted heats of formation and experimental values for 657 compounds is 7.8 kcal/mol, and for 106 hypervalent compounds, 13.6 kcal/mol. For MNDO the equivalent differences are 13.9 and 75.8 kcal/mol, while those for AM1, in which MNDO parameters are used for aluminum, phosphorus, and sulfur, are 12.7 and 83.1 kcal/mol, respectively. Average errors for ionization potentials, bond angles, and dipole moments are intermediate between those for MNDO and AM1, while errors in bond lengths are slightly reduced.

Molten salt chemistry and electrochemical processesThermal Expansion and Ionic ConductivityThermal and Kinetic AnalysisMNDOHypervalent moleculeChemistryBond lengthStandard enthalpy of formationIonization energyDipoleComputational chemistryIonizationPhysical chemistry
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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
The microwave spectrum, structure and dipole moment of aniline
Journal of Molecular Structure · 1974 · 373 citations
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