首页|Investigators from Zhejiang University of Technology Zero in on Machine Learning (Accelerating the Screening of Modified Ma2z4 Catalysts for Hydrogen Evolution Reaction By Deep Learning-based Local Geometric Analysis)
Investigators from Zhejiang University of Technology Zero in on Machine Learning (Accelerating the Screening of Modified Ma2z4 Catalysts for Hydrogen Evolution Reaction By Deep Learning-based Local Geometric Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Hangzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “Machine learning (ML) integ rated with density functional theory (DFT) calculations have recently been used to accelerate the design and discovery of single-atom catalysts (SACs) by establ ishing deep structure-activity relationships. The traditional ML models are alwa ys difficult to identify the structural differences among the single-atom system s with different modification methods, leading to the limitation of the potentia l application range.” Financial supporters for this research include National Natural Science Foundati on of China, National Basic Research Program of China.
HangzhouPeople’s Republic of ChinaAs iaCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic Chemica lsMachine LearningZhejiang University of Technology
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