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Supervised machine learning

Research Theme
Supervised Machine Learning

We have developed methods for machine-learning the electric response properties of chemical and material systems (e.g. polarizabilities) that avoid expensive quantum-chemical calculations, generalizing existing methods for learning properties such as energies and forces and paving the way to efficient and accurate simulation of vibrational spectroscopy.

Researcher: David Wilkins

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