首页|New Machine Learning Data Have Been Reported by Investigators at Northwestern Polytechnic University (Structural Embedding Methods for Machine Learning Models Accelerate Research On Stacked 2d Materials)
New Machine Learning Data Have Been Reported by Investigators at Northwestern Polytechnic University (Structural Embedding Methods for Machine Learning Models Accelerate Research On Stacked 2d Materials)
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 originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “The properties of two-dimensional materials can be controlled with a high degree of freedom through stacking, so it is crucial to explore the relationship between the structures and properties of stacked twodimensional (2D) materials. However, the large material space caused by the high degree of freedom and the large system caused by the m oire effect make density functional theory (DFT) calculations very expensive.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNorthwestern Polytechnic University
NETL
NSTL
