Robotics & Machine Learning Daily News2024,Issue(Dec.2) :122-123.

Yantai University Reports Findings in Machine Learning (Unlocking the Nitrogen R eduction Electrocatalyst with a Dual-Metal-Boron System: From High-Throughput Sc reening to Machine Learning)

烟台大学报道了机器学习的发现(用双金属硼系统解锁氮还原电催化剂:从高通量screening到机器学习)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :122-123.

Yantai University Reports Findings in Machine Learning (Unlocking the Nitrogen R eduction Electrocatalyst with a Dual-Metal-Boron System: From High-Throughput Sc reening to Machine Learning)

烟台大学报道了机器学习的发现(用双金属硼系统解锁氮还原电催化剂:从高通量screening到机器学习)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者从中国人民共和国山东报道,研究称,"最近,双金属催化剂由于其丰富的活性中心和化学性质而受到广泛关注财产。另一方面,金属硼化物在裂解惰性化学键方面有着广泛的应用在小分子(如N)中,由于o具有优异的催化性能。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Shandong, People’s Repub lic of China, by NewsRx journalists, research stated, “Recently,dual-metal cata lysts have attracted much attention due to their abundant active sites and tunab le chemicalproperties. On the other hand, metal borides have been widely applie d in splitting the inert chemical bondsin small molecules (such as N) because o f their excellent catalytic performances.”

Key words

Shandong/People’s Republic of China/As ia/Boron/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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