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Active learning for building data-efficient machine learning potentials

2024-07-03

We have recently developed the physics-informed active learning protocol for efficient data sampling and training potentials from scratch as described in this preprint.

Supercharge your computational chemistry with the universal and updatable AI models

2024-06-26

we provide the platform with universal and updatable AI models – UAIQM for short.

Course “Modern computational chemistry and AI” by Pavlo O. Dral

2024-06-25

This mini-course gives a practical introduction into computational chemistry and artificial intelligence (AI).

Molecular IR spectra simulations online!

2024-06-19

Molecular IR spectra can now be calculated online with MLatom@XACS with DFT using a simple input file.

JCTC: Surface hopping dynamics with QM and ML methods

2024-06-12

XACS team in collaboration with Mario Barbatti and groups in Warsaw University and Zhejiang lab has recently published a paper in JCTC about the versatile Python implementation of surface-hopping dynamics.

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