首页|Findings from Sichuan Agricultural University Provide New Insights into Machine Learning (Mechanics and Microstructure Analysis of Geopolymer Utilizing Ilmenite Tailing and Metakaolin Powder As Alkali-activated Materials)
Findings from Sichuan Agricultural University Provide New Insights into Machine Learning (Mechanics and Microstructure Analysis of Geopolymer Utilizing Ilmenite Tailing and Metakaolin Powder As Alkali-activated Materials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news originatingfrom Sichuan, People’s Repu blic of China, by NewsRx correspondents, research stated, “Geopolymersderived f rom bulk solid waste are considered ideal substitutes for cement-based materials in developingenvironmentally friendly construction materials. The utilization of solid waste tailings powder as a precursorfor alkali activation of geopolyme r can enhance the mechanical characteristics of geopolymer.”
SichuanPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSichuan Agricultural Univer sity
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