New book: Quantum Chemistry in the Age of Machine Learning

Prof. Pavlo O. Dral's book “Quantum Chemistry in the Age of Machine Learning” was published by Elsevier on 16th September, 2022.

Machine Learning and Quantum Computing for Quantum Molecular Dynamics [MLQCDyn]

MLatom@XACS team introduced how to use machine learning in chemistry in the CECAM Machine Learning and Quantum Computing for Quantum Molecular Dynamics [MLQCDyn] school.

J. Chem. Phys.: the classic but challenging covalent-ionic interaction in LiF

J. Chem. Phys. 157, 084106 (2022); doi: 10.1063/5.0097614

J. Chem. Phys.: A general tight-binding based energy decomposition analysis scheme for intermolecular interactions in large molecules

J. Chem. Phys. 157, 034104 (2022); https://doi.org/10.1063/5.0091781

Introduciton to XEDA in XACS

XEDA employs LMO-EDA, GKS-EDA and their extensions to explore the physical origin of intermolecular interactions.

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