Journal article
Phys. Rev. Applied, vol. 16(2), American Physical Society, 2021 Aug, p. 024045
APA
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Matuszewski, M., Opala, A., Mirek, R., Furman, M., Król, M., Tyszka, K., … Piętka, B. (2021). Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons. Phys. Rev. Applied, 16(2), 024045. https://doi.org/10.1103/PhysRevApplied.16.024045
Chicago/Turabian
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Matuszewski, M., A. Opala, R. Mirek, M. Furman, M. Król, K. Tyszka, T.C.H. Liew, et al. “Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons.” Phys. Rev. Applied 16, no. 2 (August 2021): 024045.
MLA
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Matuszewski, M., et al. “Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons.” Phys. Rev. Applied, vol. 16, no. 2, American Physical Society, Aug. 2021, p. 024045, doi:10.1103/PhysRevApplied.16.024045.
BibTeX Click to copy
@article{matuszewski2021a,
title = {Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons},
year = {2021},
month = aug,
issue = {2},
journal = {Phys. Rev. Applied},
pages = {024045},
publisher = {American Physical Society},
volume = {16},
doi = {10.1103/PhysRevApplied.16.024045},
author = {Matuszewski, M. and Opala, A. and Mirek, R. and Furman, M. and Król, M. and Tyszka, K. and Liew, T.C.H. and Ballarini, D. and Sanvitto, D. and Szczytko, J. and Piętka, B.},
month_numeric = {8}
}