MLatom@XACS is a powerful tool for training and using machine learning potentials. It supports a wide variety of representative potentials.

We will hold online broadcast demonstrating new features on April 3, at 15:30 Beijing time/9:30 am CET on the XACS Youtube channel.

Prof. Su's group has recently developed the GKS-EDA(TD) method, which is based on GKS-EDA, for quantitatively investigating the nature of intermolecular interactions in excited states.

This is a major release with many new features, usability and performance improvements, and bug fixes.

Prof. Pavlo O. Dral will present the ongoing journey towards making excited-state simulations more accessible with the help of AI/ML.