Ultrafast synthesis of ternary oxides via a design-test-make-analyze workflow

Publisher of over 50 scientific journals across the life, physical, earth, and health sciences, both independently and in partnership with scientific societies including Cell, Neuron, Immunity, Current Biology, AJHG, and the Trends Journals.

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Publication Details

Journal
Cell Reports Physical Science
Published
2025-09-01
DOI
https://doi.org/10.1016/j.xcrp.2025.102799
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Ultrafast synthesis of ternary oxides via a design-test-make-analyze workflow

Ruiming Zhu, Andy Paul Chen, Wei Nong, Woei Saw et al.
Cell Reports Physical Science
Machine Learning in Materials Science
article

Ultrafast synthesis of ternary oxides via a design-test-make-analyze workflow

Ruiming Zhu, Andy Paul Chen, Wei Nong, Woei Saw, Kedar Hippalgaonkar, Kristin Aslaug Persson, Samuel A. Morris, Albertus D. Handoko, Shreyas Dinesh Pethe, Binh Thang Tran, Fengxia Wei, Celine Valeria Liew, Maung Thway, Ming Lin, Christian J. Schürmann, Haiwen Dai, Matthew J. McDermott, Jose Recatala-Gomez, Haipei Shao, Pritish Mishra, Sabrine Hachmioune, Chenguang Zhang
article en

Abstract

Publisher of over 50 scientific journals across the life, physical, earth, and health sciences, both independently and in partnership with scientific societies including Cell, Neuron, Immunity, Current Biology, AJHG, and the Trends Journals.

Cell Reports Physical ScienceVol. 6(9)
Agency for Science, Technology and Research (SG), Lawrence Berkeley National Laboratory (US), National University of Singapore (SG), Nanyang Technological University (SG), Institute of High Performance Computing (SG), Water Research Institute (SK), Singapore Institute for Clinical Sciences (SG), Institute of Materials Research and Engineering (SG), University College London (GB)
Agency for Science, Technology and Research, National Research Foundation Singapore, Ministry of Education - Singapore, Ministry of Education, Institute of Materials Research and Engineering
Openalex Percentile: Top 83%
Machine Learning in Materials Science
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