A machine learning platform for the discovery of materials

Overview of attention for article published in Journal of Cheminformatics, May 2021

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About this Attention Score

In the top 5% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#23 of 934)
High Attention Score compared to outputs of the same age (94th percentile)
High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news: 5 news outlets
blogs: 1 blog

twitter: 10 X users

Citations

dimensions_citation: 9 Dimensions

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mendeley: 41 Mendeley

Summary News Blogs X Dimensions citations

So far, Dimensions has found 9 publications that cite this research output.

9

The most recent citing publications are shown below. View all 9 publications that cite this research output on Dimensions.

Oxygen-rich vacancies in micro-caged NiMn2O4 derived from metal-organic frameworks enabling high-performance lithium-ion batteries

Article in Materials Today Chemistry (April 2024)

Machine learning of kesterite materials using cost-effective hybrid density functional theory

Article in Current Applied Physics (March 2024)

Best‐Practice DFT Protocols for Basic Molecular Computational Chemistry**

Article in Angewandte Chemie International Edition (September 2022)

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