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Announcement of the 2023 “Best Paper Awards”

Published on: 6 Feb 2024 Viewed: 51

In appreciation of the authors’ invaluable support and outstanding contributions to the Journal of Materials Informatics (JMI) and to encourage the submission of high-quality papers and the advancement of research in the field of materials informatics, JMI has established the “Best Paper Award”. In the meticulous selection process for 2023, after initial screening by the editorial office (according to paper’s citations situation on Web of Science and Google Scholar from 2022 to 2023, reviewer evaluations, download counts, and reading volumes), reader voting, and expert reviews, we ultimately selected three papers from those published in 2022 and awarded them the esteemed “Best Paper Award”. JMI wholeheartedly congratulates all the authors of these commendable papers. Below are the awarded papers:

NumberPaperAuthors
1Process parameter optimization of metal additive manufacturing: a review and outlook
J Mater Inf 2022;2:16.
https://www.oaepublish.com/articles/jmi.2022.18
Hou Yi Chia, Jianzhao Wu, Xinzhi Wang, Wentao Yan*
2High-entropy alloy catalysts: high-throughput and machine learning-driven design
J Mater Inf 2022;2:19.
https://www.oaepublish.com/articles/jmi.2022.23
Lixin Chen, Zhiwen Chen, Xue Yao, Baoxian Su, Weijian Chen, Xin Pang, Keun-Su Kim, Chandra Veer Singh*, Yu Zou*
3Big data-assisted digital twins for the smart design and manufacturing of advanced materials: from atoms to products
J Mater Inf 2022;2:1.
https://www.oaepublish.com/articles/jmi.2021.11
William-Yi Wang, Junlei Yin, Zaixian Chai, Xin Chen, Wenping Zhao, Jiaqi Lu, Feng Sun, Qinggong Jia, Xingyu Gao, Bin Tang, Xidong Hui, Haifeng Song*, Fei Xue*, Zi-Kui Liu , Jinshan Li*

Congratulations to all the authors above! Your hard work and contributions are greatly appreciated.

Editor: Mengyu Yang
Language Editor: Emma Chen
Production Editor: Yan Zhang
Respectfully submitted by the Editorial Office of the Journal of Materials Informatics (JMI)

Journal of Materials Informatics
ISSN 2770-372X (Online)
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