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
20
November
2024

UV/vis spectra simulations with MLatom

In our latest tutorial we show how MLatom can be used to simulate UV/vis spectra via single-point convolution and nuclear-ensemble approach (NEA).

13
November
2024

MLST: Review on data sets for molecular ML potentials

Recently, we published a review on Machine Learning: Science and Technology exploring the current landscape of molecular quantum chemical data sets and databases.

6
November
2024

ML-enhanced Fast and Interpretable Simulation of IR Spectra

AIQM methods, particularly, newly introduced AIQM2, can provide IR spectra with accuracy close to DFT and the speed close to a semi-empirical GFN2-xTB method.

30
October
2024

Adv. Sci.: The Best DFT Functional Is the Ensemble of Functionals

In our work published in Advanced Science, we show that the ensembles of the existing functionals are by construction more accurate than any individual functional.