首页|University of Cambridge Reports Findings in Machine Learning (Efficient Composit e Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machin e Learning Potentials)
University of Cambridge Reports Findings in Machine Learning (Efficient Composit e Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machin e Learning Potentials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Cambridge, Uni ted Kingdom, by NewsRx journalists, research stated, “Vibrationalspectroscopy i s a cornerstone technique for molecular characterization and offers an ideal tar get forthe computational investigation of molecular materials. Building on prev ious comprehensive assessmentsof efficient methods for infrared (IR) spectrosco py, this study investigates the predictive accuracy andcomputational efficiency of gas-phase IR spectra calculations, accessible through a combination of modern semiempirical quantum mechanical and transferable machine learning potentials. ”
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