勘误:数据驱动的制粒过程建模和制粒物理性质预测

IF 1.7 4区 化学 Q4 CHEMISTRY, PHYSICAL Johnson Matthey Technology Review Pub Date : 2022-01-01 DOI:10.1595/205651322x16499427403168
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引用次数: 1

摘要

我们注意到,在最近发表的一篇文章(1)中,品牌名称的归属有一个错误,具体如下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Errattum: Data-Driven Modelling of a Pelleting Process and Prediction of Pellet Physical Properties
It has come to our attention that there was an error in the attribution of the brand name in a recently published article (1) as follows.
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来源期刊
Johnson Matthey Technology Review
Johnson Matthey Technology Review CHEMISTRY, PHYSICAL-
CiteScore
4.30
自引率
4.30%
发文量
48
审稿时长
12 weeks
期刊介绍: Johnson Matthey Technology Review publishes articles, reviews and short reports on science enabling cleaner air, good health and efficient use of natural resources. Areas of application and fundamental science will be considered in the fields of:Advanced materials[...]Catalysis[...][...]Characterisation[...]Electrochemistry[...]Emissions control[...]Fine and speciality chemicals[...]Historical[...]Industrial processes[...]Materials and metallurgy[...]Modelling[...]PGM and specialist metallurgy[...]Pharmaceutical and medical science[...]Surface chemistry and coatings[...]Sustainable technologies.
期刊最新文献
In the Lab: Artificial Metalloenzymes for Sustainable Chemical Production “Biotechnology Entrepreneurship: Leading, Managing and Commercializing Innovative Technologies” Johnson Matthey Highlights Microbubble Intensification of Bioprocessing “Fuel Cell and Hydrogen Technologies in Aviation”
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