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)
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.
Key words
Hangzhou/People’s Republic of China/As ia/Cyborgs/Elements/Emerging Technologies/Gases/Hydrogen/Inorganic Chemica ls/Machine Learning/Zhejiang University of Technology
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