首页|Investigators at Shijiazhuang Tiedao University Report Findings in Machine Learn ing (Machine Learning-based Prediction of Mechanical Properties of N-doped G-gra phdiyne)
Investigators at Shijiazhuang Tiedao University Report Findings in Machine Learn ing (Machine Learning-based Prediction of Mechanical Properties of N-doped G-gra phdiyne)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Shijiazhuang, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Nitrogendopedg amma-graphdiyne (N-GDY) has promising applications in energy, electronic devices , and catalysis,but its properties vary significantly with the distribution of N-dopants and can be hardly investigated due tomassive doping patterns. This wo rk addressed the challenge through the machine-learning-based molecular dynamics simulations, and predicted the mechanical properties of N-GDY using a customize d well-trainedDeepMD-based machine learning potential (MLP).”
ShijiazhuangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShijiazhuang Tiedao Un iversity
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