Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems
Original Research Paper
ICML 2026 paper proposing APT, a geometry-/mesh-/physics-agnostic neural operator that fuses graph-based local feature extraction with global attention for long-range physical effects; achieves 4× saturation error reduction on 2D faulted CO2 storage vs prior SOTA, 19,873× speedup over GEOS and 6,800× over ECLIPSE.
arXiv preprint (copyright held by authors) Neural OperatorSubsurface EnergyCO2 Storage