Projects per year
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Dive into the research topics where Paul Richard Prucnal is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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E2CDA: Type I: Collaborative Research: Nanophotonic Neuromorphic Computing
NSF - National Science Foundation
9/15/17 → 8/31/21
Project: Research project
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EARS: Collaborative Research: Turning on the Lights: Blind Source Separation with Agile Integrated Photonics
NSF - National Science Foundation
10/1/16 → 9/30/19
Project: Research project
Research output
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Emerging devices and packaging strategies for electronic-photonic AI accelerators: opinion
Peserico, N., de Lima, T. F., Prucnal, P. & Sorger, V. J., Apr 1 2022, In: Optical Materials Express. 12, 4, p. 1347-1351 5 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
High-Capacity Space-Division Multiplexing Communications with Silicon Photonic Blind Source Separation
Huang, C., Wang, D., Zhang, W., Wang, B., Tait, A. N., De Lima, T. F., Shastri, B. J. & Prucnal, P. R., Mar 15 2022, In: Journal of Lightwave Technology. 40, 6, p. 1617-1632 16 p.Research output: Contribution to journal › Article › peer-review
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Photonic Spiking Neural Networks and Graphene-on-Silicon Spiking Neurons
Jha, A., Huang, C., Peng, H. T., Shastri, B. & Prucnal, P. R., May 1 2022, In: Journal of Lightwave Technology. 40, 9, p. 2901-2914 14 p.Research output: Contribution to journal › Article › peer-review
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Prospects and applications of photonic neural networks
Huang, C., Sorger, V. J., Miscuglio, M., Al-Qadasi, M., Mukherjee, A., Lampe, L., Nichols, M., Tait, A. N., Ferreira de Lima, T., Marquez, B. A., Wang, J., Chrostowski, L., Fok, M. P., Brunner, D., Fan, S., Shekhar, S., Prucnal, P. R. & Shastri, B. J., 2022, In: Advances in Physics: X. 7, 1, 1981155.Research output: Contribution to journal › Review article › peer-review
Open Access2 Scopus citations -
Weight pruning techniques towards photonic implementation of nonlinear impairment compensation using neural networks
Fujisawa, S., Yaman, F., Batshon, H. G., Tanio, M., Ishii, N., Huang, C., De Lima, T. F., Inada, Y., Prucnal, P. R., Kamiya, N. & Wang, T., Mar 1 2022, In: Journal of Lightwave Technology. 40, 5, p. 1273-1282 10 p.Research output: Contribution to journal › Article › peer-review