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Chemistry - Methods is a peer-reviewed journal published by Wiley, covering Innovative Microfluidic and Catalytic Techniques Innovation, Analytical Chemistry and Chromatography, Machine Learning in Materials Science.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Chemistry - Methods 12 (3): 45–58.
Formats any DOI in Chemistry - Methods style. No sign-up. |
| Publishes research in | Innovative Microfluidic and Catalytic Techniques Innovation Analytical Chemistry and Chromatography Machine Learning in Materials Science Mass Spectrometry Techniques and Applications Advanced NMR Techniques and Applications |
| ISSN | 2628-9725 |
| Citation impact (2-yr) | 1.58 |
| h-index | 25 |
| i10-index | 64 |
| Total citations | 4,275 |
| Open access | Yes |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | chemistry-europe.onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Graphically revealing interaction regions in a chemical system enables chemists to quickly recognize where significant interactions have formed. Reduced density gradient (RDG) has already been widely employed in literatures to visually exhibit weak interaction regions, in fact it also has the ability of revealing chemical bonding regions. Unfortunately, RDG cannot clearly show both types…
Abstract Single atom catalysts (SACs) harbor a potential to exceed nanoparticle catalysts in terms of activity, stability and selectivity in a growing number of chemical reactions. Although their investigation is attracting significant attention, important fundamental questions focusing on key physicochemical properties of SACs (e. g., structure – property relationships, structural dynamics, reaction‐driven restructuring) remain unanswered.…
Abstract Flow chemistry studies can sometimes be difficult to reproduce. In this article we provide guidance to scientists for experimental details that should be considered as part of any organic chemistry‐based continuous flow study. A focus is placed on information that should be provided within reported studies to enable experiments to be more easily and…
Abstract In the fine chemicals industry, reaction screening and optimisation are essential to development of new products. However, this screening can be extremely time and labor intensive, especially when intuition is used. Machine learning offers a solution through iterative suggestions of new experiments based on past experimental data, but knowing which machine learning strategy to…
Abstract Visualizing chemical spaces streamlines the analysis of molecular datasets by reducing the information to human perception level, hence it forms an integral piece of molecular engineering, including chemical library design, high‐throughput screening, diversity analysis, and outlier detection. We present here ChemPlot, which enables users to visualize the chemical space of molecular datasets in both…
