首页|CEA Researchers Add New Findings in the Area of Machine Learning (Assimilating f ission-code FIFRELIN using machine learning)
CEA Researchers Add New Findings in the Area of Machine Learning (Assimilating f ission-code FIFRELIN using machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on artificial intelligen ce have been presented. According to news originating from CEA by NewsRx corresp ondents, research stated, “This paper presents work that has been done on the FI FRELIN Monte-Carlo code.” Our news correspondents obtained a quote from the research from CEA: “The purpos e of the code is to simulate the de-excitation process of fission fragments. Num erous quantity of insterest are calculated (mass yields, prompt particle spectra , mulitiplicities ... ). Up to now the code relies on four free parameters which control the initial excitation and total angular momentum of fission fragment. Finding the good set of the free parameters is a diffucult task.”
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