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Division Spotlight
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.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
Standards Program
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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Fusion Science and Technology
Latest News
Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
D. P. Schissel, G. Abla, S. Flanagan, L. Kim, X. Lee
Fusion Science and Technology | Volume 58 | Number 3 | November 2010 | Pages 720-726
Selected Paper from Sixth Fusion Data Validation Workshop 2010 (Part 2) | doi.org/10.13182/FST10-A10920
Articles are hosted by Taylor and Francis Online.
The DIII-D National Fusion Facility is a national and international collaboration among approximately 100 institutions with an overall goal of establishing the scientific basis for the optimization of the tokamak approach to fusion energy. A key enabler of the DIII-D mission is its extensive diagnostic set (>50), which measures relevant equilibrium parameters as well as turbulence fields. The ability to access, analyze, visualize, and assimilate data between DIII-D pulses that enables real-time decision making by an international team is a critical infrastructure component of the successful operation of the DIII-D facility. This paper examines the computer science issues associated with deploying this infrastructure in a geographically distributed environment where near-real-time support of control room decision making is required. The implication of this work on the operation of future experimental machines such as ITER is also presented.