All of materials science, chemistry, and biology can in principle be predicted from the equations of quantum mechanics. In practice this turns out to be non-trivial. We will look at how machine learning algorithms, in conjunction with theory devised over the last century, are enabling a step-change in our ability to understand the material world from first principles, followed by a discussion of the role of domain expertise in machine learning.

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