Highlights with ‘geometry optimization’

Graphical user interface for AMS2020 | live Q&A

Last but not least in the demonstration of features by SCM staff, Olivier will demonstrate the graphical user interface to our new AMS2020 release. He will give tips & tricks on using the new features in...

New in AMS2020: QM/MM, G0W0, ML Potentials | live Q&A

Fedor will demonstrate a few new features in our 2020 release: machine learning potentials, the hybrid engine for QM/MM and multi-layer calculations, G0W0, and the new ADF input structure. See also the full release notes....

Machine Learning Potentials with AMS2020: live Q&A

Matti will demonstrate how easy it is with the 2020 release of the Amsterdam Modeling Suite to install the machine learning backends to the AMS driver, and run quick geometry optimizations of organic molecules with...

Geometry Optimization with the Optimally Tuned Range-Separated Hybrid Functional

The state-of-the-art DFT is, as it turns out, too accurate for gas-phase calculations to be relevant to materials research.  Dielectric effects can be readily accounted for within the optimally tuned range-separated hybrid (OT-RSH) functional framework...