首页|Reports Summarize Machine Learning Study Results from Joint Institute for Nuclea r Research (Integrating Machine Learning With A-sas for Enhanced Structural Anal ysis In Small-angle Scattering: Applications In Biological and Artificial ...)
Reports Summarize Machine Learning Study Results from Joint Institute for Nuclea r Research (Integrating Machine Learning With A-sas for Enhanced Structural Anal ysis In Small-angle Scattering: Applications In Biological and Artificial ...)
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 – Current study results on Machine Learn ing have been published. According to news reporting originating from Moscow Reg ion, Russia, by NewsRx editors, the research stated, “Small-Angle Scattering (SA S), encompassing both X-ray (SAXS) and Neutron (SANS) techniques, is a crucial t ool for structural analysis at the nanoscale, particularly in the realm of biolo gical macromolecules. This paper explores the intricacies of SAS, emphasizing it s application in studying complex biological systems and the challenges associat ed with sample preparation and data analysis.”
Moscow RegionRussiaCyborgsEmerging TechnologiesMachine LearningJoint Institute for Nuclear Research