Robotics & Machine Learning Daily News2024,Issue(Jun.13) :49-49.

Studies from Polytechnic University Torino in the Area of Machine Learning Repor ted (Efficient Mapping of Co Adsorption On Cu1-xmx Bimetallic Alloys via Machine Learning)

都灵理工大学在机器学习领域的研究报告(通过机器学习有效映射Co在Cu1-xmx双金属合金上的吸附)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :49-49.

Studies from Polytechnic University Torino in the Area of Machine Learning Repor ted (Efficient Mapping of Co Adsorption On Cu1-xmx Bimetallic Alloys via Machine Learning)

都灵理工大学在机器学习领域的研究报告(通过机器学习有效映射Co在Cu1-xmx双金属合金上的吸附)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者在意大利都灵进行的新闻报道,研究表明,“二氧化碳的电化学还原(C O2RR)有可能减轻温室气体的影响,同时也可以通过生产增值燃料和化学品(主要是C-2分子,如乙烯和乙醇)应对全球能源挑战。实现对特定还原产品的高选择性和高效率仍然具有挑战性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Turin, Italy, by NewsRx journalists, research stated, “The electrochemical reduction of CO2 (C O2RR) has the potential to allay the greenhouse gas effect while also addressing global energy challenges by producing value-added fuels and chemicals (mostly C -2 molecules such as ethylene and ethanol). However, due to the complicated chem ical pathways involved, achieving high selectivity and efficiency towards specif ic reduction products remains challenging.”

Key words

Turin/Italy/Europe/Alloys/Cyborgs/E merging Technologies/Machine Learning/Polytechnic University Torino

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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