“基于微动力学模型和通用神经网络电位的乙烯氢甲酰化选择性催化剂的合理设计”[J]。法令。450 (2025)116253]

IF 6.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Kento Sakai, Ippei Furikado, Andrew J. Medford
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引用次数: 0

摘要

作者对已发表文章中部分数字的y轴标注错误表示遗憾。具体来说,在图1(正文)和图2中。S2和S5(支持信息)中,y轴在生成图形时无意中使用整数值而不是十进制表示法显示。下载:下载高清图片(175KB)下载:下载全尺寸图片
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corrigendum to “Rational design of selective catalysts for ethylene hydroformylation via microkinetic modeling and universal neural network potentials” [J. Catal. 450 (2025) 116253]
The authors regret that there were labelling errors in the y-axis of some figures in the published article. Specifically, in Fig. 1 (main text) and Figs. S2 and S5 (Supporting Information), the y-axis was inadvertently displayed using integer values instead of decimal notation when the figures were generated.
  1. Download: Download high-res image (175KB)
  2. Download: Download full-size image
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来源期刊
Journal of Catalysis
Journal of Catalysis 工程技术-工程:化工
CiteScore
12.30
自引率
5.50%
发文量
447
审稿时长
31 days
期刊介绍: The Journal of Catalysis publishes scholarly articles on both heterogeneous and homogeneous catalysis, covering a wide range of chemical transformations. These include various types of catalysis, such as those mediated by photons, plasmons, and electrons. The focus of the studies is to understand the relationship between catalytic function and the underlying chemical properties of surfaces and metal complexes. The articles in the journal offer innovative concepts and explore the synthesis and kinetics of inorganic solids and homogeneous complexes. Furthermore, they discuss spectroscopic techniques for characterizing catalysts, investigate the interaction of probes and reacting species with catalysts, and employ theoretical methods. The research presented in the journal should have direct relevance to the field of catalytic processes, addressing either fundamental aspects or applications of catalysis.
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