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
12
April
2024
10
April
2024

Faster & more accurate than DFT: AIQM1 in MLatom@XACS

AIQM1 (artificial intelligence–quantum mechanical method 1)

7
April
2024

Inorg. Chem. : Application of chemical bond analysis in lithium-sulfur batteries design

New example on the application of XACS showcases the study of Wang Changwei from Shaanxi Normal University and Mo Yirong from the University of North Carolina at Greensboro.

27
March
2024

Training and using machine learning potentials with MLatom@XACS

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