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Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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Nicholas Tsoulfanidis—ANS member since 1969
We welcome ANS members who have careered in the community to submit their own Nuclear Legacy stories, so that the personal history of nuclear power can be captured. For information on submitting your stories, contact nucnews@ans.org.
As an undergraduate I studied physics at the University of Athens. I entered the university in 1955 after successfully passing a national exam (came up fourth in a field of about 700 candidates). Upon graduation and finishing my mandatory two-year military service, the plan was to teach physics either in a public high school or as a tutor for a private for-profit institution, preparing high school students for the national exam.
R. Preuss, U von Toussaint
Fusion Science and Technology | Volume 69 | Number 3 | May 2016 | Pages 605-610
Technical Paper | doi.org/10.13182/FST15-178
Articles are hosted by Taylor and Francis Online.
Computer codes modeling plasma-wall interactions of fusion plasmas are costly in computer power and time—the running time for a single parameter setting is easily on the order of weeks or months, not to mention the expenditure for parametric studies. We propose to exploit the already gathered results in order to predict the outcome in the high-dimensional parameter space. For this, we utilize the Gaussian process method within the Bayesian framework. Uncertainties of the predictions are provided that point the way to parameter settings of further (expensive) simulations.