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
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.

23
October
2024

All-in-one: Learning across quantum chemical levels. Better than transfer learning!

Here, we propose the all-in-one (AIO) ANI model, which is able to handle an arbitrary number of QC levels.

16
October
2024

JOC: Surprising dynamics phenomena in the Diels–Alder reaction of C60 uncovered with AI

Recently, we published a paper in JOC about the surprising dynamics phenomena in the Diels–Alder reaction of fullerene C60.