摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者在中国北京的新闻报道，研究表明：“导电金属-有机骨架(MOFs)由于其独特的孔隙率和导电性组合，在电催化、电化学储能和化学电阻传感器等领域具有新兴的应用前景。然而，由于导电金属-有机骨架材料结构的复杂性和通用性，合理设计导电金属-有机骨架材料仍然具有挑战性。”这限制了它们的进一步开发和应用。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Beijing, People's Republic of C hina, by NewsRx journalists, research stated, “Electrically conductive metal-org anic frameworks (MOFs) are a class of materials with emergent applications in fi elds such as electrocatalysis, electrochemical energy storage, and chemiresistiv e sensors due to their unique combination of porosity and conductivity. However, due to the structural complexity and versatility, rational design of conductive MOFs is still challenging, which limits their further development and applications.”
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