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Keyword：digital twin
Machine learning framework predicts micro-displacements of DIII-D fusion device coils
Researchers at the U.S. Department of Energy's (DOE) Thomas Jefferson National Accelerator Facility (Jefferson Lab) and collaborating teams have developed a machine learning framework that can predict subtle changes in critical fusion device hardware before the next experiment begins. The method targets the DIII-D National Fusion Facility in San Diego, and the findings have been published in the journal Machine Learning with Applications. Interior of the DIII-D National Fusion Facility tokamak. (Image courtesy of General Atomics) DIII-D is a tokam...
2026-08-17
Aegis to Develop Digital Twin Control Platform for Marine Nuclear Hybrid Energy with Ontario Tech University
Aegis Critical Energy Defence Corp. announced on August 12 that it will undertake a multi-year research collaboration with Ontario Tech University through the Mitacs Accelerate program. The project, valued at CAD 480,000, aims to develop and test a digital twin-based control platform to support the safe, reliable, and robust operation of small modular reactor and micro modular reactor (SMR/MMR) hybrid energy systems in marine environments. Under the project arrangement, the research team will simulate changing loads, system faults, and...
2026-08-13