摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据新闻报道来自中华人民共和国广州的NewsRx记者，研究称，“基于杨氏模量、硬度和热加工能力的实验数据、机器学习(ML)模型构建了ti基合金的组织结构。在该模型中，得到了互扩散系数和力学性能数据从扩散偶的成分变化和纳米压痕数据重新评估高通量。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Based onexperimenta l data, machine learning (ML) models for Young’s modulus, hardness, and hot-work ing abilityof Ti-based alloys were constructed. In the models, the interdiffusi on and mechanical property data werehighthroughput re-evaluated from compositio n variations and nanoindentation data of diffusion couples.”
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