↓ Skip to Main Content
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)

Main Navigation

  • Group
  • About Pavlo
    • Contact and Legal Notice
    • Privacy Statement
    • Cookie Policy
  • People
  • Publications
  • Research
  • Online Course
  • Conferences
  • News & Posts
    • News
    • Posts
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)

Off Canvas Menu

  • Group
  • About Pavlo
    • Contact and Legal Notice
    • Privacy Statement
    • Cookie Policy
  • People
  • Publications
  • Research
  • Online Course
  • Conferences
  • News & Posts
    • News
    • Posts
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 →

Machine Learning in Chemistry

Nonadiabatic Dynamics with Deep Learning

Pavlo Dral Nov 15, 2018 Tagged with excited states, J. Phys. Chem. Lett., ML, nonadiabatic dynamics

We demonstrate that deep learning can be used to perform pure machine learning nonadiabatic excited-state dynamics …

Nonadiabatic Dynamics with Deep Learning Read more →

Machine Learning in Chemistry, News

Machine Learning Accelerates Excited-State Dynamics

Pavlo Dral Sep 14, 2018 Tagged with excited states, J. Phys. Chem. Lett., ML, nonadiabatic dynamics

Machine learning paves the way for massive simulations of nonadiabatic excited-state molecular dynamics.

Machine Learning in Chemistry, News

Self-Correcting Machine Learning and Structure-Based Sampling

Pavlo Dral Jun 28, 2017 Tagged with ab initio, J. Chem. Phys., ML

Structure-based sampling and self-correcting machine learning is used for precise representation of molecular potential energy surfaces …

Self-Correcting Machine Learning and Structure-Based Sampling Read more →

News

The Effect of the Heteroatom in Organic Acceptors with Acridophosphine Scaffold

Pavlo Dral Jun 23, 2017 Tagged with ab initio, Chem. Eur. J., DFT, fluorescence, IR spectra, synergy between theory and experiment, UV/Vis spectra

A series of the substituted two-electron acceptors with a dicyanomethylene-bridged acridophosphine scaffold has been prepared and …

The Effect of the Heteroatom in Organic Acceptors with Acridophosphine Scaffold Read more →

News

Stable Chiral Dithia-Bridged Hetero[4]helicene Radical Cation

Pavlo Dral Jun 1, 2017 Tagged with B3LYP, Chem. Asian J., DFT, synergy between theory and experiment

A stable axially chiral radical cation of dithia-bridged hetero[4]helicene has been synthesized and analyzed using experimental …

Stable Chiral Dithia-Bridged Hetero[4]helicene Radical Cation Read more →

News

Synergy Between Theory and Experiment: Stability of Pyridyl N-Heterotriangulene Ions

Pavlo Dral May 24, 2017 Tagged with ab initio, ChemPlusChem, DFT, synergy between theory and experiment

The stability of odd- vs even-electron ions derived from pyridine-substituted N-heterotriangulenes has been investigated by both …

Synergy Between Theory and Experiment: Stability of Pyridyl N-Heterotriangulene Ions Read more →

News, Semiempirical Methods

OMx Methods Score Well in Set from SAMPL5 Challenge

Pavlo Dral Jan 6, 2017 Tagged with DFT, OMx, QM/MM, SAMPL5, SQC

OMx methods have once again been shown to give as accurate results as DFT methods, but …

OMx Methods Score Well in Set from SAMPL5 Challenge Read more →

News

Pyridyl N-Heterotriangulenes for Photovoltaics

Pavlo Dral Aug 29, 2016 Tagged with DFT, DSSC, Heterotriangulenes, RSC Advances

Erlangen colleagues synthesized a series of N-heterotriangulenes, which can be used for dye-sensitized solar cells and …

Pyridyl N-Heterotriangulenes for Photovoltaics 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 →

Posts pagination

Previous 1 … 8 9 10 11 Next
Copyright © 2026 Dr. Pavlo O. Dral | Powered by Responsive Theme
Copyright © 2026 Dr. Pavlo O. Dral | Powered by Responsive Theme
Loading Comments...