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Industry Update—February 2026
Here is a recap of recent industry happenings:
Supply chain contract signed for Aurora
Oklo, the California-based developer of the Aurora Powerhouse sodium-cooled fast-neutron reactor, has signed a contract with Siemens Energy that is meant to de-risk supply chain and production timeline challenges for Oklo. Under the terms, Siemens will design and deliver the power conversion system for the Powerhouse, which is to be deployed at Idaho National Laboratory.
Nathan Shenhav, Yakov Ben-Haim
Nuclear Science and Engineering | Volume 88 | Number 2 | October 1984 | Pages 173-183
Technical Paper | doi.org/10.13182/NSE84-A28401
Articles are hosted by Taylor and Francis Online.
Uncertainty in nondestructive elemental or isotopic assay arises from two distinct factors. Unknown spatial distribution of the assayed analyte in the matrix of the sample gives rise to spatial uncertainty. Limitation of the duration of measurement and randomness of the pulse-counting process give rise to statistical uncertainty. These two types of uncertainty occur in the assay of nuclear waste, in mineral prospecting, in in vivo radionuclide assay, and in other applications. In all cases, proper design of the assay system is essential for reliable and accurate assay. The designer of a nondestructive assay system confronts numerous design decisions. He must choose the type and number of detectors to be employed and their arrangement around the sample, the type of radiation to be measured, whether the assay is to be passive or active, and the duration of the measurement. Sometimes the designer is free to specify the shape and size of the sample or the density or composition of the matrix material. A concise, quantitative, computerizable performance criterion is described in detail, which enables the designer to choose from among the wide range of possible assay-system designs. Realistic calculations are presented to illustrate the type of information obtained from the performance criterion.