OMx methods have once again been shown to give as accurate results as DFT methods, but substantially faster. The OM2 method has outperformed other semi-empirical methods and has essentially the same accuracy as BLYP for the distribution coefficient part of…
Dr. Pavlo O. Dral
Computer Chemistry
Category: Semiempirical Methods
Details on OMx Methods
Details about theory and implementation of up-to-now most advanced semiempirical quantum-chemical methods are published.
Correcting Differences with Machine Learning
Pavlo Dral
Posted in Machine Learning in Chemistry, Method Development, News, Semiempirical Methods
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In our recent study, we propose using machine learning (ML) to correct differences in properties calculated at two quantum chemical (QC) methods with different accuracy. In the Δ-ML approach ML model is trained on differences between some property calculated at…
Machine Learning of Semiempirical Parameters
Pavlo Dral
Posted in Machine Learning in Chemistry, Method Development, News, Semiempirical Methods
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We propose using machine learning (ML) for improving semiempirical Hamiltonian. Given sufficiently large training set ML can be used to correct parameters of semiempirical quantum chemical (SQC) method individually for any target molecule. Such automatic parametrization technique (APT) stands in…
The Unrestricted Local Properties
Pavlo Dral
Posted in Method Development, Nanoelectronics, News, Semiempirical Methods
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Did you know that the reactivity of alkyl radicals towards H-abstraction is related to their electron accepting properties? And that alkyl cations are much more reactive than alkyl radicals for the same reason? The same tool that clearly visualizes these…
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