摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-研究人员详细介绍了机器学习的新数据。根据NewsRx记者在北京的新闻报道，研究人员称：“本研究构建了一个反设计框架，以探索具有高抗冲击性能的梯度蜂窝结构(HCS)。通过建立蜂窝高度与蜂窝壁角度之间的关系，设计了不同梯度模式的蜂窝结构。”本研究的资金来源包括中国青年科学家国家重点研发项目、国家自然科学基金(NSFC)、北京理工学院科技创新项目。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Beijing, People's Republic of China, by NewsRx journalists, research stated, "In this study, an inverse design frame work was constructed to explore gradient honeycomb structures (HCS) with high im pact resistance. By establishing the relationship between the height of the cell and the cell-wall angle, HCS with different gradient modes were designed." Financial supporters for this research include National Key R & D Program for Young Scientists of China, China, National Natural Science Foundatio n of China (NSFC), Science and Technology Innovation Program of Beijing institut e of technology.
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