01 Jan 0001
00:00 - 00:00
Advancements in multicore and hollow-core fiber technologies require sophisticated numerical modeling and simulation techniques, ranging from geometrical analysis and multiphysics simulations to the creation of digital twins for optical networks. In recent years, the modeling landscape has been transformed by high-performance computing, leveraging graphical processing units, parallel algorithms, and AI-driven approaches to solve previously intractable numerical challenges.
Despite their central role in the innovation process, these methods are often mentioned only in passing, with the emphasis typically placed on results rather than the employed techniques. This panel provides an opportunity to explore established and novel modeling tools, as well as the underlying processes and methods, featuring insights from leading experts in industry and academia.
The key discussions to address in this panel are:
- Challenges and advancements in modeling fibers with more complex geometries, such as HCF and MCF
- Suitable simulation methods (e.g., finite elements, beam propagation, etc.) and boundary conditions
- Modeling of fabrication tolerances and environmental factors (microbending, temperature, etc.)
- Application of machine learning and AI techniques in fiber design
- Computational scalability toward large-scale fiber networks
- Computational evaluation of the impact of different fiber designs on the system performance
Organizers
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Yi Cai
ZTE TX Inc., USA
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Tristan Kremp
Lightera, USA
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Chiara Lasagni
Universita degli Studi di Parma, Italy
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Darli Mello
UNICAMP, Brazil