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Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Discovering, Making, and Testing New Materials: SRNL’s Center For Hierarchical Waste Form Materials
Savannah River National Laboratory researchers are building on the laboratory’s legacy of using cutting-edge science to effectively immobilize nuclear waste in innovative ways. As part of the Center for Hierarchical Waste Form Materials, SRNL is leveraging its depth of experience in radiological waste management to explore new frontiers in the industry.
I. Lux
Nuclear Science and Engineering | Volume 67 | Number 3 | September 1978 | Pages 317-325
Technical Paper | doi.org/10.13182/NSE78-A27252
Articles are hosted by Taylor and Francis Online.
The theoretical investigation of the efficiency of three standard variance reduction techniques is given. It is shown that survival biasing reduces the variance in quite general circumstances. Sufficient conditions are given for the reduction of the variance in reaction rate and leakage estimations by the expected leakage probability (ELP) method and the expectation estimator. It is verified that the ELP method, combined with the expectation estimator, always reduces the variance of reaction rate and leakage estimators opposed to the analog game with a pointwise estimator.