arXiv:2511.20687v3 Announce Type: replace-cross Abstract: This paper presents a novel hybrid approach for coupling subdomain-local non-intrusive Operator Inference (OpInf) reduced order models (ROMs) with each other and with subdomain-local high-fidelity full order models (FOMs) with using the overlapping Schwarz alternating method (O-SAM). The proposed methodology addresses significant challenges in multiscale modeling and simulation, particularly the long runtime and complex mesh generation requirements associated with traditional high-fidelity simulations. By leveraging the flexibility of O
This research addresses contemporary challenges in multiscale modeling and simulation, particularly the growing demand for efficient high-fidelity simulations across various scientific and engineering disciplines.
Improved hybrid coupling methods for reduced order models are critical for accelerating complex simulations, which directly impacts the development cycle and efficiency across numerous high-tech sectors, including AI.
The ability to more efficiently integrate high-fidelity and reduced-order models will significantly reduce computational costs and runtime for complex systems, accelerating design and research.
- · AI/ML researchers
- · High-performance computing (HPC) providers
- · Engineering and scientific simulation software developers
- · Industries reliant on complex simulations (e.g., aerospace, automotive, energy)
Faster and more accurate simulations of physical systems become achievable.
Accelerated discovery and development cycles for products and research in fields like materials science, drug discovery, and AI hardware design.
Enhanced AI systems capable of predicting and optimizing complex physical phenomena with greater precision and speed, potentially reducing reliance on physical prototyping.
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Read at arXiv cs.AI