首页|Reports from Chinese Academy of Sciences Add New Data to Research in Machine Lea rning (Machine learning optimization strategy of shaped charge liner structure b ased on jet penetration efficiency)
Reports from Chinese Academy of Sciences Add New Data to Research in Machine Lea rning (Machine learning optimization strategy of shaped charge liner structure b ased on jet penetration efficiency)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Beijing , People’s Republic of China, by NewsRx correspondents, research stated, “Shaped charge liner (SCL) has been extensively applied in oil recovery and defense ind ustries. Achieving superior penetration capability through optimizing SCL struct ures presents a substantial challenge due to intricate rate-dependent processes involving detonation-driven liner collapse, high-speed jet stretching, and penet ration.”
Chinese Academy of SciencesBeijingPe ople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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