摘要
一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-纳米技术的新研究-仿生学是一篇报道的主题。根据NewsRx记者在安徽的新闻报道,研究表明:“在追求天然酶催化剂的优点的同时克服其局限性,我们发现金属-有机骨架(MOFs)以其高度可调的功能而在仿生应用中脱颖而出。我们使用基于密度泛函理论的无监督机器学习-计算振动红外光谱和拉曼光谱,筛选出300个Zn-MoF用于CO转化。”类似于碳酸酐酶(CA)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Nanotechnology - Biomi metics is the subject of a report. According to news reporting from Anhui, Peopl e’s Republic of China, by NewsRx journalists, research stated, “In pursuing the benefits of natural enzyme catalysts while overcoming their limitations, we find metal-organic frameworks (MOFs), renowned for their highly tunable functionalit ies, stand out in biomimetic applications. We used unsupervised machine learning on density functional theory-computed vibrational infrared and Raman spectral f eatures to screen 300 Zn-MOFs for CO conversion, similar to carbonic anhydrase ( CA).”