AI RESEARCH
Machine Learning Models to Identify Promising Nested Antiresonance Nodeless Fiber Designs
arXiv CS.LG
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ArXi:2603.13302v1 Announce Type: new Hollow-core fibers offer superior loss and latency characteristics compared to solid-core alternatives, yet the geometric complexity of nested antiresonance nodeless fibers (NANFs) makes traditional optimization computationally prohibitive. We propose a high-efficiency, two-stage machine learning framework designed to identify high-performance NANF designs using minimal