Electronic-photonic Architectures for Brain-inspired Computing

HYBRAIN Scientific Publications

These publications have been created with financial support from the European Union’s Horizon Europe research and innovation programme HYBRAIN project under grant agreement No 101046878.

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Aggarwal, Samarth, Farmakidis, Nikolaos, Dong, Bowei, Lee, June Sang, Wang, Mengyun, Xu, Zhiyun and Bhaskaran, Harish. "All optical tunable RF filter using elemental antimony" Nanophotonics, vol. 13, no. 12, 2024, pp. 2223-2229.
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A. Varri, S. Taheriniya, F. Brückerhoff-Plückelmann, I. Bente, N. Farmakidis, D. Bernhardt, H. Rösner, M. Kruth, A. Nadzeyka, T. Richter, C. D. Wright, H. Bhaskaran, G. Wilde, W. H. P. Pernice "Scalable Non-Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation" Adv. Mater. 2023, 2310596. https://doi.org/10.1002/adma.202310596

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Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch. "Using the IBM analog in-memory hardware acceleration kit for neural network training and inference" APL Mach. Learn. 1 December 2023; 1 (4): 041102. https://doi.org/10.1063/5.0168089

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Brückerhoff-Plückelmann, Frank, Bente, Ivonne, Wendland, Daniel, Feldmann, Johannes, Wright, C. David, Bhaskaran, Harish and Pernice, Wolfram. "A large scale photonic matrix processor enabled by charge accumulation" Nanophotonics, vol. 12, no. 5, 2023, pp. 819-825. https://doi.org/10.1515/nanoph-2022-0441


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Dominique J. Kösters, Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto Ruiz de Austri, Johan Kwisthout, Hans Hilgenkamp, Theo Rasing, Heike Riel, Abu Sebastian, Sascha Caron, Johan H. Mentink; Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics. APL Machine Learning 1 March 2023; 1 (1): 016101. https://doi.org/10.1063/5.0116699.


Van de Ven B., Alegre-Ibarra U., Lemieszczuk P. J., Bobbert P. A., Ruiz Euler H.-C., van der Wiel W. G. , "Dopant network processing units as tuneable extreme learning machines" Frontiers in Nanotechnology volume 5, 2023, Issn: 2673-3013, doi: 10.3389/fnano.2023.1055527.


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Farmakidis, N., Yu, H., Lee, J. S., Feldmann, J., Wang, M., He, Y., Aggarwal, S., Dong, B., Pernice, W. H. P., & Bhaskaran, H., "Scalable High-Precision Trimming of Photonic Resonances by Polymer Exposure to Energetic Beams" Nano letters, 23(11), 4800–4806. https://doi.org/10.1021/acs.nanolett.3c00220


Zolfagharinejad, M., Alegre-Ibarra, U., Chen, T. et al., "Brain-inspired computing systems: a systematic literature review" Eur. Phys. J. B 97, 70 (2024). https://doi.org/10.1140/epjb/s10051-024-00703-6.


Farmakidis, N., Dong, B. & Bhaskaran, H., "Integrated photonic neuromorphic computing: opportunities and challenges" Nat Rev Electr Eng 1, 358–373 (2024). https://doi.org/10.1038/s44287-024-00050-9.


Xu, R., Taheriniya, S., Varri, A., Ulanov, M., Konyshev, I., Krämer, L., McRae, L., Ebert, F. L., Bankwitz, J. R., Ma, X., Ferrari, S., Bhaskaran, H., & Pernice, W. H. P., "Mode Conversion Trimming in Asymmetric Directional Couplers Enabled by Silicon Ion Implantation" Nano letters, 10.1021/acs.nanolett.4c02065. Advance online publication. https://doi.org/10.1021/acs.nanolett.4c02065