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Correction: Understanding the patterns that neural networks learn from chemical spectra
Laura Hannemose
Rieger
a,
Max
Wilson
b,
Tejs
Vegge
a and
Eibar
Flores
*c
aDepartment of Energy Conversion and Storage, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
bDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
cSustainable Energy Technology, SINTEF Industry, Sem Sælands Vei 12, Trondheim, 7034, Norway. E-mail: eibar.flores.cedeno@sintef.no
First published on 6th March 2024
Abstract
Correction for ‘Understanding the patterns that neural networks learn from chemical spectra’ by Laura Hannemose Rieger et al., Digital Discovery, 2023, 2, 1957–1968, https://doi.org/10.1039/D3DD00203A.
The authors regret the omission of funding acknowledgements, initially reported in the article metadata but inadvertently overlooked in the original text. The authors acknowledge the funding from the European Union's Horizon 2020 research and innovation program under grants agreement no. 957189 (BIG-MAP) and no. 957213 (BATTERY2030PLUS).
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
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