Want to run DFT calculations in an easy way? Search no more!

Transfer learning (TL) is an often-used technique in machine learning that helps you train better AI models.

MLatom supports a wide range of universal machine learning (ML)-based models including ML potentials and hybrid ML-enhanced quantum mechanical (QM) methods.

In this tutorial, we show how to perform such simulations with the newly released MLatom 3.5.0 on an example reproducing the above PNAS paper.

Released on 29.04.2024.