Cartesian-nj: Extending e3nn to Irreducible Cartesian Tensor Product and Contracion

This article announces a technical advancement in the field of 3D deep learning, specifically focusing on extending the capabilities of the e3nn library. The core contribution appears to be related to handling irreducible Cartesian tensor products and contractions, which are important for representing and manipulating data with specific symmetries. The source being ArXiv suggests this is a pre-print, indicating ongoing research and potential for future developments and peer review.

• •Focuses on extending the e3nn library.
• •Deals with irreducible Cartesian tensor products and contractions.
• •Relevant to 3D deep learning and data with symmetries.
• •Published as a pre-print on ArXiv.