Chemically Inspired Convolutional Neural Network using Electronic Structure Representation


Journal article


Dong Hyeon Mok, Daeun Shin, Jonggeol Na, Seoin Back
Journal of Materials Chemistry A, vol. 11, 2023, p. 10184


Cite

Cite

APA   Click to copy
Mok, D. H., Shin, D., Na, J., & Back, S. (2023). Chemically Inspired Convolutional Neural Network using Electronic Structure Representation. Journal of Materials Chemistry A, 11, 10184. https://doi.org/10.1039/d3ta01767b


Chicago/Turabian   Click to copy
Mok, Dong Hyeon, Daeun Shin, Jonggeol Na, and Seoin Back. “Chemically Inspired Convolutional Neural Network Using Electronic Structure Representation.” Journal of Materials Chemistry A 11 (2023): 10184.


MLA   Click to copy
Mok, Dong Hyeon, et al. “Chemically Inspired Convolutional Neural Network Using Electronic Structure Representation.” Journal of Materials Chemistry A, vol. 11, 2023, p. 10184, doi:10.1039/d3ta01767b.


BibTeX   Click to copy

@article{dong2023a,
  title = {Chemically Inspired Convolutional Neural Network using Electronic Structure Representation},
  year = {2023},
  journal = {Journal of Materials Chemistry A},
  pages = {10184},
  volume = {11},
  doi = {10.1039/d3ta01767b},
  author = {Mok, Dong Hyeon and Shin, Daeun and Na, Jonggeol and Back, Seoin}
}


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