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Dral's Group AI-enhanced computational chemistry | LOOKING FOR POSTDOCS WITH DIFFERENT EXPERTISE (QM AND ML METHOD DEVELOPMENT, SOLID-STATE MEHOD DEVELOPMENT, APPLICATIONS AND MORE)

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Method Development

Method Development, News, Semiempirical Methods

ODMx: New Consistent Semiempirical Methods

Pavlo Dral Feb 28, 2019 Tagged with JCTC, ODM2, ODM3, ODMx, OM2, OM3, OMx, SQC

We have introduced two new NDDO-based semiempirical quantum-chemical methods ODM2 and ODM3, which are more consistent …

ODMx: New Consistent Semiempirical Methods Read more →

Method Development, News, Semiempirical Methods

How Valid Is the NDDO Approximation?

Pavlo Dral Dec 14, 2018 Tagged with Big Data, JCC, NDDO, OMx, SQC

We comprehensively analyzed the validity of the NDDO (neglect of diatomic differential overlap) approximation, which forms …

How Valid Is the NDDO Approximation? Read more →

Method Development, News

Benchmark of Semiempirical Methods

Pavlo Dral Jan 30, 2016 Tagged with D3, dispersion interaction, JCTC, OMx, SQC

What is the best semiempirical method to use for your system? Find out in the most …

Benchmark of Semiempirical Methods Read more →

Method Development, News, Semiempirical Methods

Details on OMx Methods

Pavlo Dral Jan 17, 2016 Tagged with D3, dispersion interaction, JCTC, OMx, SQC

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

Machine Learning in Chemistry, Method Development, News, Semiempirical Methods

Correcting Differences with Machine Learning

Pavlo Dral Apr 13, 2015 Tagged with APT, B3LYP, G4MP2, JCTC, ML, PM7, QC

In our recent study, we propose using machine learning (ML) to correct differences in properties calculated …

Correcting Differences with Machine Learning Read more →

Machine Learning in Chemistry, Method Development, News, Semiempirical Methods

Machine Learning of Semiempirical Parameters

Pavlo Dral Apr 4, 2015 Tagged with APT, JCTC, ML, OM2, SQC

We propose using machine learning (ML) for improving semiempirical Hamiltonian. Given sufficiently large training set ML …

Machine Learning of Semiempirical Parameters Read more →

Method Development, Nanoelectronics, News, Semiempirical Methods

The Unrestricted Local Properties

Pavlo Dral Jun 24, 2014 Tagged with AM1, J. Mol. Model., local EA, local IE, SQC

Did you know that the reactivity of alkyl radicals towards H-abstraction is related to their electron …

The Unrestricted Local Properties Read more →

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