2 citations · 3 across the 5 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
nlin.CD2026
Flux-form spatiotemporal neural operators for coarse-grained dynamics of multiscale PDEs
Junfeng Chen
We study data-driven prediction of coarse-grained dynamics in multiscale PDE systems. Adopting a closure-free operator-learning viewpoint, we apply a linear coarse-graining map and…
stat.ML2026
Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
Junfeng Chen
Many prediction tasks in computational science and engineering become one-to-many after coarse graining and partial observation. In such settings, deterministic surrogates trained…