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DOE’s latest fusion strategy aims for commercial energy by the 2030s
The Department of Energy has released what it is calling a “finalized” national strategy to accelerate the development and commercialization of fusion energy, with the goal of scaling up the private fusion sector by the mid-2030s.
Released on June 9, the Fusion Science and Technology (FS&T) Roadmap builds on an earlier road map document the DOE released in October 2025, which itself echoed plans issued by the DOE’s Office of Fusion Energy Sciences in 2023 and 2024.
According to the DOE, this finalized road map brings together fusion science, technology, infrastructure, workforce development, and commercialization priorities into a single national strategy, outlining how the DOE, industry, universities, and national laboratories will work together to accelerate the path toward U.S. commercial fusion energy.
Andreas Szeless, Lawrence Ruby
Nuclear Science and Engineering | Volume 45 | Number 1 | July 1971 | Pages 7-13
Technical Paper | doi.org/10.13182/NSE71-A20340
Articles are hosted by Taylor and Francis Online.
A method has been devised to calculate exactly the probability distribution of reactor neutron noise. The distribution is calculated from a complicated generating function which has been known for some time. The method depends on the success achieved in obtaining a closed-form expression for the n'th derivative of a differentiable r-fold composite function. As an application of the technique, exact probability distributions are calculated for a variety of parameters. The resultant distributions are compared with the approximative negative binomial distribution. In some cases, rather similar variances are found, where the negative binomial is not expected to be a good approximation to the exact distribution. The explanation lies in an interlacing of the exact and approximative distributions. A procedure is described for fitting an experimental distribution to the exact distribution, thereby obtaining the best values of the parameters α1 and Y1 ∞. When the negative binomial is a good approximation to the exact distribution, only the product α1 Y1 ∞ can be obtained by the fitting procedure. In such cases, a Feynman-variance experiment can be performed to determine the parameters separately.