Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originating fromSurrey, United Kingdom, by NewsRx correspondents, research stated, “The exploration of nuclear massor binding ene rgy, a fundamental property of atomic nuclei, remains at the forefront of nuclea r physics research due to limitations in experimental studies and uncertainties in model calculations, particularlywhen moving away from the stability line. In this work, we employ two machine learning (ML) models,support vector regressio n (SVR) and Gaussian process regression (GPR), to assess their performance inpr edicting nuclear mass excesses using available experimental data and a physics-b ased feature space.”
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