摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者在芬兰奥卢的新闻报道,研究表明:“拉曼光谱是研究分子、肽甚至蛋白质的振动性质和组成的重要工具。拉曼光谱可以基于电子极化率随振动的变化来模拟,这种变化现在可以通过基于第一原理数据的Ma Chine学习模型来有效地获得。”
Abstract
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 Oulu, Finland, by NewsRx journalists, research stated, “Raman spectroscopy is an important tool in the s tudy of vibrational properties and composition of molecules, peptides, and even proteins. Raman spectra can be simulated based on the change of the electronic polarizability with vibrations, which can nowadays be efficiently obtained via ma chine learning models trained on first-principles data.”