摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。根据来自加州斯坦福的新闻报道，NewsRx编辑，研究称，“快速测定”分子链的形成可以大大加快许多化学学科的工作流程。然而，e仅使用一维(1D)NMR谱、最实际可获得的数据来阐明结构，仍然是一个极具挑战性的问题，因为可能的数量的梳状爆炸分子随着固定原子数量的增加。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting out of Stanford, California , by NewsRx editors, research stated, “Rapid determinationof molecular structur es can greatly accelerate workflows across many chemical disciplines. However,e lucidating structure using only one-dimensional (1D) NMR spectra, the most readi ly accessible data,remains an extremely challenging problem because of the comb inatorial explosion of the number of possiblemolecules as the number of constit uent atoms is increased.”
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