Active learning for surface hopping dynamics

Our active learning protocol for accelerating surface hopping dynamics with machine learning is now available in MLatom 3.10!

Data in MLatom’s Python API

To truly unlock the potential of MLatom, you need to master handling of data with its Python API.

Not sure which DFT functional to choose? Choose them all!

The DFT ensembles are now available in MLatom as described in our online tutorial.

Finally! Periodic boundary conditions in MLatom

You can do single-point calculations, geometry optimization, and molecular dynamics with PBC.

JPCA: QM/MM-Based Energy Decomposition Analysis Method for Large Systems

It plays a significant role in enhancing our understanding of various chemical phenomena.

To Page
Go