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-机器学习的新数据在一份新的报告中呈现。根据来自西班牙加的斯的新闻报道，NewsR X通讯记者称：“目前，在处理纳米尺度材料的相表征时，透射电子显微镜被认为是主要的选择。”补充技术的发展和改进，如能量色散X射线光谱(EDS)，电子能谱仪(EELS)，成像探测器和相关的计算方法为确定样品任何区域的成分和晶体结构提供了大量的选择。这项研究的财政支持者包括西班牙政府、Ministerio de Ciencia e Innovacion MCIN/AEI/Feder UE、欧盟"下一代欧盟"/PRTR。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Machine Learning are presented in a new report. According to news reporting originating from Cadiz, Spain, by NewsR x correspondents, research stated, "At present, transmission electron microscopy is regarded as the main option when dealing with phase characterization for mat erials at a nanometric scale. The development and improvement of complementary t echniques such as energydispersive X-ray spectroscopy (EDS), electron energy lo ss spectroscopy (EELS), imaging detectors and associated computational methods p rovide a huge variety of choices to determine the composition and crystal struct ure at any region of a specimen." Financial supporters for this research include Spanish Government, Ministerio de Ciencia e Innovacion MCIN/AEI/FEDER UE, European Union "NextGenerationEU"/PRTR.
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