首页|Research on Machine Learning Detailed by Researchers at Southwest Jiaotong Unive rsity (Machine learning for polyphenol-based materials)
Research on Machine Learning Detailed by Researchers at Southwest Jiaotong Unive rsity (Machine learning for polyphenol-based materials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news originating from Sichuan, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Polyphenol-b ased materials, primarily composed of polyphenolic compounds, have attracted con siderable attention due to their unique chemical structures and biological activ ities.” Financial supporters for this research include Sichuan Province Science And Tech nology Support Program. Our news correspondents obtained a quote from the research from Southwest Jiaoto ng University: “However, there are many derivatives of polyphenols, resulting in the complexity and diversity of polyphenolbased materials. Traditional methods are difficult to meet the rapid development of polyphenol-based materials. Mach ine learning, known for its proficiency in predicting performance, optimizing sy nthesis processes, and designing novel materials, offers significant potential i n the intelligent design and applications of polyphenol-based materials. In this review, we summarize the recent advancements in the research and development of polyphenol-based materials and machine learning. The intersection of polyphenol -based materials and machine learning is also discussed, including their applica tions in biomedical, environmental, and energy fields.”
Southwest Jiaotong UniversitySichuanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learni ng
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