首页|Data on Photocatalytics Described by Researchers at Southeast University (Machin e Learning-assisted Design of Nitrogen-rich Covalent Triazine Frameworks Photoca talysts)
Data on Photocatalytics Described by Researchers at Southeast University (Machin e Learning-assisted Design of Nitrogen-rich Covalent Triazine Frameworks Photoca talysts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nanotechnology - Photocatalytics is the subject of a report. According to news reporting originating from Nanjing , People’s Republic of China, by NewsRx correspondents, research stated, “Covale nt triazine frameworks (CTFs), noted for their rich nitrogen content, have attra cted significant attention as promising photocatalysts. However, the structural complexity introduced by the diversity of nitrogen atoms in nitrogen-rich CTFs p oses a substantial challenge in discovering high-performance CTFs.” Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC), Basic Research Program of Jiangsu Province, Jiangsu Provincial Scientific Research Ce nter of Applied Mathematics, Fundamental Research Funds for the Central Universi ties.
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanotechnologyNitrogenP hotocatalystPhotocatalyticsSoutheast University
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