Robotics & Machine Learning Daily News2024,Issue(Aug.21) :33-34.

Data on Machine Learning Reported by Researchers at Hebei Normal University (Rat ional Design of Pt-anchored Single-atom Alloy Electrocatalysts for No-to-nh3 Con version By Density Functional Theory and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.21) :33-34.

Data on Machine Learning Reported by Researchers at Hebei Normal University (Rat ional Design of Pt-anchored Single-atom Alloy Electrocatalysts for No-to-nh3 Con version By Density Functional Theory and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Hebei, People’s Repub lic of China, by NewsRx journalists, research stated, “ElectrochemicalNO reduct ion reaction (NORR) toward NH3 synthesis emerges as a promising approach to elim inate NO pollution and generate high-value-added products simultaneously. Theref ore, exploring suitable NORRelectrocatalysts is of great importance.”

Key words

Hebei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Hebei Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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