Joshua
Ojih
a,
Mohammed
Al-Fahdi
a,
Yagang
Yao
b,
Jianjun
Hu
c and
Ming
Hu
*a
aDepartment of Mechanical Engineering, University of South Carolina, SC 29208, USA. E-mail: hu@sc.edu
bNational Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China
cDepartment of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA
First published on 26th June 2024
Correction for ‘Graph theory and graph neural network assisted high-throughput crystal structure prediction and screening for energy conversion and storage’ by Joshua Ojih et al., J. Mater. Chem. A, 2024, 12, 8502–8515, https://doi.org/10.1039/D3TA06190F.
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
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