首页|Ohio University Reports Findings in Machine Learning (Understanding Defects in A morphous Silicon with Million-Atom Simulations and Machine Learning)
Ohio University Reports Findings in Machine Learning (Understanding Defects in A morphous Silicon with Million-Atom Simulations 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 DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Ohio, United States, b y NewsRx correspondents, research stated, “The structure ofamorphous silicon (a -Si) is widely thought of as a fourfold-connected random network, and yet it isdefective atoms, with fewer or more than four bonds, that make it particularly i nteresting. Despite manyattempts to explain such ‘dangling-bond’ and ‘floating- bond’ defects, respectively, a unified understandingis still missing.”
OhioUnited StatesNorth and Central A mericaChemistryCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
