首页|Findings from Xi'an Jiaotong University Broaden Understanding of Machine Learnin g (Review of External Field Effects On Electrocatalysis: Machine Learning Guided Design)
Findings from Xi'an Jiaotong University Broaden Understanding of Machine Learnin g (Review of External Field Effects On Electrocatalysis: Machine Learning Guided Design)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting from Xi'an, People's Republic of C hina, by NewsRx journalists, research stated, "External field-enhanced electroca talysis is a novel and promising approach for boosting the efficiency of electro catalytic reactions, potentially achieving significant enhancement without alter ing the composition and structure of electrocatalysts. In addition, the scaling relations of electrocatalysis typically lead to similar variations of initial-st ate and transition-state (TS) energy, which minimally impacts the reaction energ y barrier." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities, Scientific Research Program of Shaanxi Provi nce.
Xi'anPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTechnologyXi'an Jiaotong Un iversity
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