Robotics & Machine Learning Daily News2024,Issue(Dec.5) :145-146.

University of Bath Researchers Further Understanding of Machine Learning (Compar ative life cycle assessments of laboratory and Pilot-scale Mechanochemical proce sses for producing carbonated mineral products as cement substitutes)

巴斯大学研究人员对机器学习的进一步理解(实验室和中试规模的机械化学生产碳酸矿物产品作为水泥替代品的生命周期评估)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :145-146.

University of Bath Researchers Further Understanding of Machine Learning (Compar ative life cycle assessments of laboratory and Pilot-scale Mechanochemical proce sses for producing carbonated mineral products as cement substitutes)

巴斯大学研究人员对机器学习的进一步理解(实验室和中试规模的机械化学生产碳酸矿物产品作为水泥替代品的生命周期评估)

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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-调查人员发布关于人工智能的新报告。根据新闻报道由NewsRx记者从巴斯大学发起的研究表明,“碳酸盐的使用”水泥生产中的矿物产品减少碳排放,提高耐久性。本研究矿物碳酸盐生物质粉煤灰(BFA)作为部分材料的环境可持续性评价欧洲水泥生产中的水泥替代"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from the Universi ty of Bath by NewsRx correspondents, research stated, “The use of carbonatedmin eral products in cement production reduces carbon emissions and enhances durabil ity. This studyevaluated the environmental sustainability of using mineral carb onated biomass fly ash (BFA) as a partialcement replacement in European cement production.”

Key words

University of Bath/Alkalies/Anions/Ca rbonates/Carbonic Acid/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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