Find a story
Search Spins
Search titles, summaries, and missing voices across published articles — press releases, announcements, and media coverage.
3 results for “neural operator”
Geometry-aware Incremental Neural Operator for Long-Horizon PDE prediction
Researchers introduced GeoIncNO, a new neural operator architecture designed to improve stability and accuracy in long-horizon autoregressive prediction of partial differential equations by structuring latent increments with geometric awareness and decoupling mean and fluctuation reconstruction.
Aug 13, 2026
Feature Interaction Modeling for Physics-Informed Neural Networks and Neural Operators
Researchers introduced feature interaction modules from factorization machines into physics-informed neural networks and neural operators to improve accuracy on parameterized PDEs with strong cross-variable dependencies, especially shock-dominated or discontinuous systems.
Aug 3, 2026
Diffusion-corrected Autoregressive Fourier Neural Operator for Droplet Evolution Prediction
Researchers introduced DiffARFNO, a two-stage neural operator combining autoregressive Fourier-MIONet with a DDIM-based corrector to improve long-horizon droplet evolution prediction in inkjet printing simulations.
Jul 21, 2026