摘要
机器人与机器学习日报的新闻记者兼新闻编辑-机器学习日报的最新研究结果已经发表。根据NewsRx记者从比利时Zwijnaarde发回的新闻报道，研究表明：“燃烧后碳帽提供了短期内减少人为二氧化碳排放的高潜力途径。在这方面，纳米多孔材料，如共价有机框架(COFs)，提供了一个有希望的吸附床平台。”
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 to newsreporting originating from Zwijnaarde , Belgium, by NewsRx correspondents, research stated, “Postcombustioncarbon cap ture provides a high-potential pathway to reduce anthropogenic CO2 emissions in theshort term. In this respect, nanoporous materials, such as covalent organic frameworks (COFs), offer apromising platform as adsorbent beds.”
NETL
NSTL