https://www.ofs-lab.com/author/daniel-garcia-arana/Daniel Garcia AranaHugo Blox Builder (https://hugoblox.com)en-usThu, 23 Jul 2026 00:00:00 +0000https://www.ofs-lab.com/author/daniel-garcia-arana/avatar_hu5744147998334339436.pnghttps://www.ofs-lab.com/author/daniel-garcia-arana/https://www.ofs-lab.com/author/daniel-garcia-arana/Thu, 23 Jul 2026 00:00:00 +0000https://www.ofs-lab.com/author/daniel-garcia-arana/https://www.ofs-lab.com/project/ai/Thu, 23 Jul 2026 00:00:00 +0000https://www.ofs-lab.com/project/ai/<figure id="figure-hc-arf-geometry-detection"> <div class="d-flex justify-content-center"> <div class="w-100" ><img alt="HC-ARF geometry detection" src="https://www.ofs-lab.com/media/fiber_detection.gif" loading="lazy" data-zoomable /></div> </div><figcaption> HC-ARF geometry detection </figcaption></figure> <p>Advanced Optical Fiber Fabrication is crucial for low-loss optical fibers. By developing new fabrication techniques, we can create fibers with precisely engineered geometries and material compositions that enable lower losses, broader bandwidths, and enhanced nonlinear or sensing capabilities. The main goals of this projects are to design and fabricate next-generation fibers for high-speed data communications, ultrafast laser delivery, quantum communication, and environmental sensing — achieving higher performance, lower cost, and greater energy efficiency.</p> <ul> <li>Develop physics-informed AI models to predict light propagation in hollow-core fibers</li> <li>Create data-driven surrogate models to accelerate fiber design and optimization</li> <li>Integrate first-principles physics with machine learning to improve model accuracy and reliability</li> <li>Optimize hollow-core fiber geometries for enhanced optical performance</li> <li>Validate AI predictions through numerical simulations and experimental measurements</li> <li>Explore inverse design methods to discover next-generation hollow-core fiber structures <ul> <li>This project is funded by Relativity Networks Inc. <br><br> You can click <a href="https://relativitynetworks.ai/" target="_blank" rel="noopener">here</a> to know about Relativity Networks Inc.</li> </ul> </li> </ul> <h1 id="heading"></h1>https://www.ofs-lab.com/project/hcarf_modeling/Wed, 22 Oct 2025 00:00:00 +0000https://www.ofs-lab.com/project/hcarf_modeling/ <figure id="figure-optical-fiber-modes"> <div class="d-flex justify-content-center"> <div class="w-100" ><img alt="optical fiber modes" src="https://www.ofs-lab.com/media/modes.gif" loading="lazy" data-zoomable /></div> </div><figcaption> optical fiber modes </figcaption></figure> <p>Design and modeling of advanced optical fibers are crucial for driving innovation in modern photonics. By understanding and engineering fiber geometries, materials, and guiding mechanisms, one can tailor light propagation to achieve unprecedented performance in communication, sensing, and laser systems. This project enables the development of low-loss, high-power, and application-specific fibers which could pave the way for breakthroughs in next-generation networks, biomedical diagnostics, and quantum technologies.</p> <p><strong>MOFlab focues on:</strong></p> <ul> <li>Accurate modeling of complex hollow-core anti-resonant fibers <ul> <li>Model various complex hollow-core fiber geometry <ul> <li>Single-mode fiber</li> <li>Multi-mode fiber</li> </ul> </li> <li>Understand and model various physical loss mechanisms <ul> <li>Confinement loss</li> <li>Surface scattering loss</li> <li>Micro-bend loss</li> <li>Macro-bend loss</li> </ul> </li> </ul> </li> <li>Modeling speciality optical fibers <ul> <li>THz fibers</li> <li>Hollow-core fiber sensors</li> <li>Metamaterial fibers</li> <li>Surface plasmon fibers</li> <li>Higher power fiber lasers</li> </ul> </li> <li>Machine learing in fiber optics <ul> <li>loss prediction using different ML algorithms</li> <li>Optimize complex geometry of advanced optical fibers</li> </ul> </li> <li>Characterize hollow-core fibers <ul> <li>Loss characterization</li> <li>Dispersion measurement</li> </ul> </li> </ul>