Quantum Chemistry in the Age of Machine Learning

As the quantum chemistry (QC) community embraces machine learning (ML), the number of new methods and applications based on the combination of QC and ML is surging. In this Perspective, a view of the current state of affairs in this new and exciting research field is offered, challenges of using machine learning in quantum chemistry applications are described, and potential future developments are outlined. Specifically, examples of how machine learning is used to improve the accuracy and accelerate quantum chemical research are shown. Generalization and classification of existing techniques are provided to ease the navigation in the sea of literature and to guide researchers entering the field. The emphasis of this Perspective is on supervised machine learning.

# Machine Learning in Materials Science # Materials Science # Advanced Chemical Physics Studies # Physics and Astronomy # Quantum Computing Algorithms and Architecture # Computer Science

Pavlo O. Dral (2020). "Quantum Chemistry in the Age of Machine Learning". The Journal of Physical Chemistry Letters. https://doi.org/10.1021/acs.jpclett.9b03664