Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber
Summary
Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber is a scholarly article[1].
Key Facts
Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-of-machine-learning-to-efficiently-predict-the-confinement-loss-in-anti-resonant-hollow-core-fiber
MLA“Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-of-machine-learning-to-efficiently-predict-the-confinement-loss-in-anti-resonant-hollow-core-fiber.
BibTeX@misc{4ortxyz_use-of-machine-learning-to-efficiently-predict-the-confinement-loss-in-anti-resonant-hollow-core-fiber_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber}}, year = {2026}, url = {https://4ort.xyz/entity/use-of-machine-learning-to-efficiently-predict-the-confinement-loss-in-anti-resonant-hollow-core-fiber}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber — https://4ort.xyz/entity/use-of-machine-learning-to-efficiently-predict-the-confinement-loss-in-anti-resonant-hollow-core-fiber (retrieved 2026-05-24)
