en.Wedoany.com Reported - Thea Energy, a company dedicated to advancing the commercialization of stellarator technology, announced on June 8 that it will collaborate with NVIDIA, Synopsys, Argonne National Laboratory (ANL), and the Princeton Plasma Physics Laboratory (PPPL) to build a digital twin model for the first stellarator fusion power plant "Helios," leveraging artificial intelligence to accelerate fusion energy development.

This collaboration aligns with the goals of the U.S. Department of Energy's "Genesis Mission," which aims to accelerate the development of baseload fusion energy using artificial intelligence. NVIDIA will utilize the Omniverse platform to integrate Thea Energy's models, code, and real-world data into the digital twin; Synopsys will provide multiphysics simulation software to integrate data and evaluate blanket systems; ANL will contribute expertise in neutronics analysis and blanket design; and PPPL will provide plasma modeling and high-fidelity simulation codes.

David Gates, co-founder and Chief Technology Officer of Thea Energy, stated that by connecting simulation data with actual operational data through artificial intelligence, a digital twin can be built at lower cost and faster speed compared to traditional models, shortening development cycles and even enabling system operation before construction begins. The company plans to achieve on-demand fusion energy supply by 2035, with the Helios power plant expected to commence operations in the 2030s.

Spun out from Princeton University and the Princeton Plasma Physics Laboratory in 2022, Thea Energy focuses on commercializing planar coil stellarator architecture and has received initial funding from the U.S. Department of Energy's "Milestone-Based Fusion Development Program" as well as support from six INFUSE awards.

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