首页|New Machine Learning Study Results Reported from National University of Defense Technology (Machine learning guided prediction of dynamic energy release in high -entropy alloys)
New Machine Learning Study Results Reported from National University of Defense Technology (Machine learning guided prediction of dynamic energy release in high -entropy alloys)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligence have been presented. According to news reporting originating from Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “High-entropy alloy (HEA) type energetic structural materials (ESMs) offer exceptional str ength, adequate ductility and reactivity upon dynamic loading, thus demonstrating great potentials in pyrotechnic applications.”
National University of Defense TechnologyChangshaPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging Technol ogiesMachine Learning
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