Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Hefei, Peop le’s Republic of China, by NewsRx correspondents, research stated, “The stable s ites of self-interstitial atoms (SIAs) at grain boundaries (GBs) and correspondi ng energetics are fundamental to explore both the SIA-GB interaction and the eff ects of SIA segregation on the role of GBs in microstructural evolution under ir radiation. In this study, by combing the support vector machine (SVM) model suit able for handling small samples with the differential evolution (DE) algorithm d esigned for global optimization, a machine learning (ML) framework for modeling and predicting the formation energies of stable SIAs (EfSIAmin) at tungsten GBs was established.”
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NSTL