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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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Collaborations and top research areas from the last five years
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Cryo-compatible Electro-optic Interconnect for Superconducting Circuit Readout
Prucnal, P. R. (PI)
7/1/22 → 9/30/25
Project: Research project
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Collaborative Research: SWIFT: Wideband Spectrum Coexistence Enabled by Photonic Circuits: Cross-Layer Design and Implementation
Prucnal, P. R. (PI)
NSF - National Science Foundation
9/1/21 → 8/31/24
Project: Research project
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White Paper: Cryo Compatible Photonic Neural Processing
Prucnal, P. R. (PI)
3/30/18 → 9/30/22
Project: Research project
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E2CDA: Type I: Collaborative Research: Nanophotonic Neuromorphic Computing
Prucnal, P. R. (PI)
NSF - National Science Foundation
9/15/17 → 8/31/21
Project: Research project
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Building Scalable Silicon Microring Resonator-Based Neuromorphic Photonic Circuits Using Post-Fabrication Processing with Photochromic Material
Xu, L., Zhang, J., Doris, E. A., Bilodeau, S., Wisch, J. A., Gui, M., Jimoh, Y. O., Shastri, B., Rand, B. P. & Prucnal, P. R., 2025, (Accepted/In press) In: Advanced Optical Materials.Research output: Contribution to journal › Article › peer-review
Open Access -
All-optical organic photochemical integrated nanophotonic memory: low-loss, continuously tunable, non-volatile
Bilodeau, S., Doris, E. A., Wisch, J. A., Gui, M., Rand, B. P., Shastri, B. J. & Prucnal, P. R., Sep 20 2024, In: Optica. 11, 9, p. 1242-1249 8 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
A system-on-chip microwave photonic processor solves dynamic RF interference in real time with picosecond latency
Zhang, W., Lederman, J. C., Ferreira de Lima, T., Zhang, J., Bilodeau, S., Hudson, L., Tait, A., Shastri, B. J. & Prucnal, P. R., Dec 2024, In: Light: Science and Applications. 13, 1, 14.Research output: Contribution to journal › Article › peer-review
Open Access20 Scopus citations -
Control-free and efficient integrated photonic neural networks via hardware-aware training and pruning
Xu, T., Zhang, W., Zhang, J., Luo, Z., Xiao, Q., Wang, B., Luo, M., Xu, X., Shastri, B. J., Prucnal, P. R. & Huang, C., Aug 2024, In: Optica. 11, 8, p. 1039-1049 11 p.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Link Loss Analysis of Integrated Linear Weight Bank within Silicon Photonic Neural Network
Blow, E. C., Zhang, J., Zhang, W., Bilodeau, S., Lederman, J., Shastri, B. & Prucnal, P. R., 2024, Machine Learning in Photonics. Ferranti, F., Hedayati, M. K. & Fratalocchi, A. (eds.). SPIE, 130170H. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13017).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution