首页|Norwegian University of Science and Technology (NTNU) Reports Findings in Machin e Learning (Multi-scale correlation of impactinduced defects in carbon fiber co mposites using X-ray scattering and machine learning)
Norwegian University of Science and Technology (NTNU) Reports Findings in Machin e Learning (Multi-scale correlation of impactinduced defects in carbon fiber co mposites using X-ray scattering and machine learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating in Trondheim, Nor way, by NewsRx journalists, research stated, “Impact-induced defects in carbon f iber-reinforced polymers (CFRPs)-spanning from nanometer to macroscopic length s cales-can be monitored using an aggregate of X-ray-based methods, but this is im practical in typical field conditions. We report on a low-velocity impacted CFRP, which is mapped using small- and wide-angle X-ray scattering and X-ray compute d tomography, and employ machine learning for correlating material parameterizat ions derived from these techniques.”
TrondheimNorwayEuropeCyborgsEmer ging TechnologiesMachine Learning
NETL
NSTL
