首页|Study Findings from Sheffield Hallam University Provide New Insights into Machine Learning (Machine Learning Based Compton Suppression for Nuclear Fusion Plasma Diagnostics)
Study Findings from Sheffield Hallam University Provide New Insights into Machine Learning (Machine Learning Based Compton Suppression for Nuclear Fusion Plasma Diagnostics)
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 – Research findings on Machine Learning are discuss ed in a new report. According to news reporting from Sheffield, United Kingdom, by NewsRx journalists, research stated, “Diagnostics are critical on the path to commercial fusion reactors, since measurements and characterisation of the plas ma is important for sustaining fusion reactions. Gamma spectroscopy is commonly used to provide information about the neutron energy spectrum from activation an alysis, which can be used to calculate the neutron flux and fusion power.”
SheffieldUnited KingdomEuropeCybor gsEmerging TechnologiesMachine LearningNuclear FusionPhysicsSheffield Hallam University
NETL
NSTL
