Machine Learning Representation for Materials

Klaus-Robert Müller
Technische Universität Berlin

We first introduce the concept of a representation for kernel machines and neural networks. Then, techniques for analysing representations are introduced and applied to representations of molecules and materials for gaining a better understanding of the potential and the limits of Machine Learning for creating a quantum machine.

Presentation (PDF File)

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