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This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
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Fusion Science and Technology
Framatome, Ultra Safe partner to manufacture TRISO and FCM fuel
Framatome and Ultra Safe Nuclear announced on January 26 that they intend to form a joint venture to manufacture commercial quantities of tristructural isotropic (TRISO) particles and Ultra Safe’s proprietary fully ceramic microencapsulated (FCM) fuel.
The companies have signed a nonbinding agreement to integrate their resources to bring commercially viable, fourth-generation nuclear fuel to market for Ultra Safe’s micro-modular reactor (MMR) and other advanced reactor designs.
Mark R. Cianciosa, James D. Hanson, David A. Maurer
Fusion Science and Technology | Volume 74 | Number 1 | July-August 2018 | Pages 1-12
Technical Paper | doi.org/10.1080/15361055.2017.1392819
Articles are hosted by Taylor and Francis Online.
Reconstruction is an inverse process where a parameter space is searched to locate a set of parameters with the highest probability of describing experimental observations. Due to systematic errors and uncertainty in experimental measurements, this optimal set of parameters will contain some associated uncertainty. This uncertainty in the optimal parameters leads to uncertainty in models derived using those parameters. V3FIT is a three-dimensional (3D) equilibrium reconstruction code that propagates uncertainty from the input signals, to the reconstructed parameters, and to the final model. In this work, we describe the methods used to propagate uncertainty in V3FIT. Using the results of whole shot 3D equilibrium reconstruction of the Compact Toroidal Hybrid, this propagated uncertainty is validated against the random variation in the resulting parameters. Two different model parameterizations demonstrate how the uncertainty propagation can indicate the quality of a reconstruction. As a proxy for random sampling, the whole shot reconstruction results in a time interval that will be used to validate the propagated uncertainty from a single time slice.