D. Fomichev

GINTO: Geometry-informed transformer neural operator for fluid flows on arbitrary domains

Generalizing neural operators across varying geometries remains a central challenge in scientific machine learning. While most operator-learning frameworks assume fixed geometries and parametric variability in boundary conditions or coefficients, many fluid-dynamics problems require prediction across distinct domains....