2 papers
cs.LG2026
Neural-Schwarz Tiling for Geometry-Universal PDE Solving at Scale
Paolo Secchi, Daniel S. Balint, Marco Maurizi
Most learned PDE solvers follow a global-surrogate paradigm: a neural operator is trained to map full problem descriptions to full solution fields for a prescribed distribution of…
cond-mat.mtrl-sci2024
Inverse designing metamaterials with programmable nonlinear functional responses in graph space
Marco Maurizi, Derek Xu, Yu-Tong Wang +9
Material responses to static and dynamic stimuli, represented as nonlinear curves, are design targets for engineering functionalities like structural support, impact protection, an…