首页|University of Munster Reports Findings in Machine Learning (Machine Learning Iso tropicg Values of Radical Polymers)
University of Munster Reports Findings in Machine Learning (Machine Learning Iso tropicg Values of Radical Polymers)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Munster, Germany, by New sRx journalists, research stated, “Methods for electronic structure computations, such as density functional theory (DFT), are routinely used for the calculatio n of spectroscopic parameters to establish and validate structure-parameter corr elations. DFT calculations, however, are computationally expensive for large sys tems such as polymers.”
MunsterGermanyEuropeCyborgsEmerg ing TechnologiesMachine Learning
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