Julius Berner

2 months ago | arxiv.org | Julius Berner |David Pitt |Valentin Duruisseaux |Daniel Leibovici

[Submitted on 11 Apr 2025] Title:Enabling Automatic Differentiation with Mollified Graph Neural Operators View a PDF of the paper titled Enabling Automatic Differentiation with Mollified Graph Neural Operators, by Ryan Y. Lin and 7 other authors View PDF HTML (experimental) Abstract:Physics-informed neural operators offer a powerful framework for learning solution operators of partial differential equations (PDEs) by combining data and physics losses.