XACS

Xiamen Atomistic Computing Suite

XMVB

XMVB

A Valence Bond Theory Based Quantum Chemistry Program

XMVB

XEDA

XEDA

A General and Multipurpose Energy Decomposition Analysis Program

XEDA

Utils

MLatom

A Package for Atomistic Simulations with Machine Learning

MLatom
News
8
May
2024

Quasi-classical trajectories to study reaction mechanisms like in PNAS and JACS papers!

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.

30
April
2024
22
April
2024

Join online broadcast: Active learning for building your data and machine learning potentials

In the broadcast, we will demonstrate how MLatom@XACS can be used for accelerating expensive quantum chemical simulations via efficient building of robust machine learning potentials.

17
April
2024

JPCL | Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training

See our paper in JPCL for more details as well as the tutorials on how to use MLatom for such simulations.