Tag: JCTC

Benchmark of Semiempirical Methods

What is the best semiempirical method to use for your system? Find out in the most extensive benchmark study.

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Details on OMx Methods

Details about theory and implementation of up-to-now most advanced semiempirical quantum-chemical methods are published.

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Correcting Differences with Machine Learning

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

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Machine Learning of Semiempirical Parameters

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

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