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
![](https://blogs.surrey.ac.uk/mathsresearch/wp-content/uploads/sites/11/2021/08/mlstac14adf1_hr.jpg)