IPAM "Multi-Fidelity Methods for Fusion Energy" Spring 2026 Program Overview
Apply to IPAM's Spring 2026 Programs: https://www.ipam.ucla.edu/programs/long-programs/multi-fidelity-methods-for-fusion-energy/?tab=activities"Multi-Fidelity Methods for Fusion Energy" is the Spring 2026 long program at the Institute for Pure and Applied Mathematics at UCLA. In this webinar, Selenne Bañuelos, the Associate Director of IPAM, explains the resources provided to long program resident scholars. She is joined by Frank Jenko of the Max Planck Institute for Plasma Physics for an overview of the long program content, beginning at 05:36. The themes of the four main week-long workshops are introduced by:
16:38 Emily Belli of General Atomics "Multi-Fidelity Methods for Fusion Plasma Physics"
22:02 Ionut-Gabriel Farcas of Virginia Tech "Learning Models from Data for Multi-Fidelity Fusion Plasma Physics"
25:00 Elizabeth Paul of Columbia University "Fusion Device Design and Engineering"
27:38 Tim Wildey of Sandia National Laboratories "Multi-Fidelity Methods to Enable Robust Optimization and Real-Time Control of Fusion Processes"
Long Program Overview:
The pursuit of fusion energy as a clean and virtually limitless power source has gained renewed momentum, particularly following significant advancements in inertial confinement fusion and magnetic fusion energy technologies. Recent experiments have demonstrated the potential for producing more energy than consumed through nuclear fusion, prompting substantial investments from the U.S. federal government and the private sector. However, the realization of commercially viable fusion power faces substantial mathematical and computational challenges. Current high-fidelity kinetic models, while effective in balancing physics and predictive capabilities, demand immense computational resources, making them impractical for essential tasks like real-time plasma control and experimental design. Multi-fidelity methods that tightly integrate both high-fidelity and lower-fidelity models to optimize computational efficiency while maintaining physical accuracy, promise to be game-changing. These methods are essential for tasks like uncertainty quantification and design optimization, which are crucial for rapid progress in fusion research.
This IPAM Long Program aims to unite mathematicians, physicists, computer scientists, and engineers to collaboratively tackle the challenges and opportunities presented by multi-fidelity modeling in fusion energy research. By leveraging the common language of mathematics, the workshop seeks to expand the community of mathematicians engaged in fusion energy, bringing together areas such as nonlinear dynamics, numerical analysis, machine learning, and uncertainty quantification. The program will provide a platform for sharing knowledge and innovations, ultimately striving to build a multidisciplinary community capable of advancing fusion energy towards practical implementation.
Apply to IPAM's Spring 2026 Programs: https://www.ipam.ucla.edu/programs/long-programs/multi-fidelity-methods-for-fusion-energy/?tab=activities Receive SMS online on sms24.me
TubeReader video aggregator is a website that collects and organizes online videos from the YouTube source. Video aggregation is done for different purposes, and TubeReader take different approaches to achieve their purpose.
Our try to collect videos of high quality or interest for visitors to view; the collection may be made by editors or may be based on community votes.
Another method is to base the collection on those videos most viewed, either at the aggregator site or at various popular video hosting sites.
TubeReader site exists to allow users to collect their own sets of videos, for personal use as well as for browsing and viewing by others; TubeReader can develop online communities around video sharing.
Our site allow users to create a personalized video playlist, for personal use as well as for browsing and viewing by others.
@YouTubeReaderBot allows you to subscribe to Youtube channels.
By using @YouTubeReaderBot Bot you agree with YouTube Terms of Service.
Use the @YouTubeReaderBot telegram bot to be the first to be notified when new videos are released on your favorite channels.
Look for new videos or channels and share them with your friends.
You can start using our bot from this video, subscribe now to IPAM "Multi-Fidelity Methods for Fusion Energy" Spring 2026 Program Overview
What is YouTube?
YouTube is a free video sharing website that makes it easy to watch online videos. You can even create and upload your own videos to share with others. Originally created in 2005, YouTube is now one of the most popular sites on the Web, with visitors watching around 6 billion hours of video every month.
