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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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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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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Latest News
X-energy, Dow apply to build an advanced reactor project in Texas
Dow and X-energy announced today that they have submitted a construction permit application to the Nuclear Regulatory Commission for a proposed advanced nuclear project in Seadrift, Texas. The project could begin construction later this decade, but only if Dow confirms “the ability to deliver the project while achieving its financial return targets.”
Yu Liu, Michael Nishimura, Liqian Li, Karen Colins
Nuclear Technology | Volume 197 | Number 1 | January 2017 | Pages 75-87
Technical Paper | doi.org/10.13182/NT16-97
Articles are hosted by Taylor and Francis Online.
With the advancement of computer and communication technologies, wireless sensor networks (WSNs) are increasingly used in nuclear and space applications of radiation dose monitoring, earth observation, etc. In both cases, intensive radiation effects on electronic survivability are a concern. Gamma-ray damaging mechanisms in semiconductor devices are described as, and specifically linked to, semiconductor property changes in detectors, transistors, and integrated circuits. Radiation damage is cumulative and can result in the premature failure of WSN nodes. Thus, radiation-resistant electronics are commonly used for space and nuclear applications. However, these devices present a significant cost, especially when monitoring large areas. This paper focuses on studying a protocol stack that achieves an effective compromise in the cost and performance in a large-scale gamma radiation environment. The probability density function of a Weibull distribution is used to model failures of individual nodes in simulated WSNs. The distribution parameters are based on results of radiation-damage tests performed on semiconductor devices in the Gamma-220 facility (60Co source) at the Canadian Nuclear Laboratories (CNL). The simulation of the protocol stack proposed in this paper through network simulator 2 (NS2) and the resulting performance analyses could provide useful design insights and considerations for nuclear and space applications. Our work is the first study on designing an environmentally adaptive protocol stack in a large-scale gamma radiation environment for nuclear and space applications.