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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: TD-DFT

Machine Learning in Chemistry, Method Development, News

Machine Learning for Absorption Cross Sections

Baoxin Xue Nov 20, 2020 Tagged with DFT, excited states, J. Phys. Chem. A, ML, MLatom, Newton-X, publications, TD-DFT

Paper Bao-Xin Xue, Mario Barbatti*, Pavlo O. Dral*, Machine Learning for Absorption Cross Sections, J. Phys. Chem. A 2020, 124, 7199–7210. DOI: 10.1021/acs.jpca.0c05310.Preprint …

Machine Learning for Absorption Cross Sections Read more →

Electronic Structure Calculations, News

Investigation of Application Potential of Diazapentacene Derivatives in Organic Field-Effect Transistors

Pavlo Dral Sep 30, 2020 Tagged with DFT, OFET, Org. Mater., publications, TD-DFT, UV/Vis spectra

Diazapentacene derivatives were synthesized and investigated for their potential application in organic field-effect transistors, with one …

Investigation of Application Potential of Diazapentacene Derivatives in Organic Field-Effect Transistors Read more →

Electronic Structure Calculations

Theory Untangles Fascinating Properties of Spiro-Compounds

Pavlo Dral Jun 2, 2020 Tagged with Angew. Chem., D3, DFT, dispersion interaction, excited states, fluorescence, publications, synergy between theory and experiment, TD-DFT, UV/Vis spectra

Theory was instrumental in rationalizing complex photophysical phenomena experimentally observed for a series of spiro-bridged heterotriangulenes …

Theory Untangles Fascinating Properties of Spiro-Compounds Read more →

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