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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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Tag: OM2

Method Development, Semiempirical Methods

Next Step: TB-SEMO Methods?

Pavlo Dral Apr 25, 2019 Tagged with JMM, JMolModel, NDDO, OM2, SQC

Johannes Margraf and I have published our perspective on what semiempirical molecular orbital (SEMO) methods are …

Next Step: TB-SEMO Methods? Read more →

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 →

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 →

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