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。根据新闻报道由NewsRx记者发起于新泽西州霍博肯，研究称，“过程诱导孔隙度，”缺陷和残余应力导致纤维增强d复合材料力学性能下降以及其他异质结构。物理和化学过程创造复杂的过程-材料性能关系。
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 Hoboken, New Jersey, by NewsRx journalists, research stated, “Process-induced porosity,defects, and residual stresses lead to mechanical performance degradation in fiber-reinforce d compositeand other heterogeneous structures. Physical and chemical processes create complex process-materialperformancerelationships.”
NETL
NSTL