首页|Recent Research from HeNan Polytechnic University Highlight Findings in Machine Learning (Density Functional Theory and Machine Learning of Transition Metals In Mo2c for Gas Sensors)
Recent Research from HeNan Polytechnic University Highlight Findings in Machine Learning (Density Functional Theory and Machine Learning of Transition Metals In Mo2c for Gas Sensors)
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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 from Jiaozuo, People’s Repu blic of China, by NewsRx journalists, research stated, “Gas accumulation is the primary cause of explosions in underground mines, and preventing it requires eff ective gas detection. To address this, we propose an approach combining machine learning (ML) and density functional theory (DFT) for designing nanoscale gas se nsors.” Financial support for this research came from Key Projects of NSFC-Henan Joint F und.
JiaozuoPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningHeNan Polytechnic Universit y
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