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
15
May
2024

Easy-to-use universal AI models for modern computational chemistry

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

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.