AI RESEARCH
NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arXiv CS.LG
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ArXi:2511.02481v4 Announce Type: replace Partial differential equations (PDEs) underpin quantitative descriptions across the physical sciences and engineering, yet high-fidelity simulation remains a major computational bottleneck for many-query, real-time, and design tasks. Data-driven surrogates can be strikingly fast but are often unreliable when applied outside their