1 code implementation • 3 Dec 2023 • Viktor Zaverkin, Julia Netz, Fabian Zills, Andreas Köhn, Johannes Kästner
We propose a machine learning method to model molecular tensorial quantities, namely the magnetic anisotropy tensor, based on the Gaussian-moment neural-network approach.
no code implementations • 9 Feb 2021 • Jan Schnabel, Tobias Kampschulte, Simon Rupp, Johannes Hecker Denschlag, Andreas Köhn
We theoretically investigate the prospects for photoassociation (PA) of Rb$_3$, in particular at close range.
Chemical Physics Quantum Gases Atomic and Molecular Clusters
