Paper of Stefan Klus on machine learning in quantum science published in IOP journal MLST

The paper “Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry“, co-authored by Stefan Klus, Patrick Gelß (Free University Berlin), Feliks Nüske (Paderborn University), and Frank Noé (Free University Berlin & Rice University), has been published in the IOP journal “Machine Learning: Science and Technology“. The paper is published gold open access and is available here. The image below shows Figure 1 from the paper

Figure 1 from the paper