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The consortium partners published different scientific papers describing the results obtained in the Phresco project:

 

  • Abel et al.,”Barium Titanate Thin Films Embedded in Silicon Photonic Structures for Ultra-Efficient Electro-Optical Tuning”, Extended Abstracts of the 2016 International Conference on Solid State Devices and Materials, pp. 161–162, 2016
  • Abel et al., “Multi-level optical weights in integrated circuits,” in International Conference of Rebooting Computing 2017, 2017.
  • Reinke et al., “Low Temperature Epitaxial Barium Titanate Thin Film Growth in High Vacuum CVD,” Adv. Mater. Interfaces, vol. 1700116, no. 18, p. 1700116, 2017.
  • Freiberger et al., “On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout”, 2017 IEEE International Conference on Rebooting Computing (ICRC), pp. 255-258, 2017.
  • J. Kormondy et al., “Microstructure and ferroelectricity of barium titanate thin films on Si for integrated photonics,” in 2017 IEEE International Conference on IC Design and Technology, ICICDT 2017, 2017.
  • J. Kormondy et al., “Microstructure and ferroelectricity of BaTiO3 thin films on Si for integrated photonics,” Nanotechnology, vol. 28, p. 75706, 2017.
  • Eltes et al., “A novel 25 Gbps electro-optic Pockels modulator integrated on an advanced Si photonic platform,” in IEEE International Electron Devices Meeting (IEDM), pp. 601–604, 2017.
  • Katumba et al., "A multiple input strategy to efficient integrated photonic reservoir computing", Cognitive Computing Journal, vol. 9, no. 3, pp. 307-314, 2017.
  • Lugnan et al. ‘Integrated pillar scattereers for speeding up classification of cell holograms”, Optics Express, vol. 25, no 24, pp. 30526-30538, 2017.
  • Katumba et al., "Low-loss photonic reservoir computing with multimode photonic integrated circuits", Scientific Reports, vol. 8, paper 2653, 2018.
  • Laporte et al., “Numerical demonstration of neuromorphic computing with photonic crystal cavities”, Optics Express, vol. 26, no. 7, pp. 7955-7964, 2018.
  • Olivares et al., “Optical switching in hybrid VO2/Si waveguides thermally triggered by lateral microheaters”, Optics Express, vol. 26, pp. 12387-12395, 2018.
  • Denis-le Coarer et al., “All-optical reservoir computing on a photonic chip using silicon-based ring resonators”, IEEE journal of selected topics in Quantum electronics, vol. 24, 6, 2018.
  • D. Sanchez et al., “Experimental demonstration of a tunable transverse electric pass polarizer based on hybrid VO2/silicon technology”, Optics Letters, 43, 3650, 2018.
  • Laporte et al., “Highly parallel simulation and optimisation of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch”, Scientific Reports, accepted for publication, 2019.
  • Katumba et al., “A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection”, IEEE Journal of Lightwave Technology, accepted for publication, 2019.
  • Freiberger et al., “Training passive photonic reservoirs with integrated optical readout”, IEEE Transactions on Neural Networks and Learning Systems, accepted for publication, 2019.
  • Abel, S. et al., “Large Pockels effect in micro- and nano- structured barium titanate integrated on silicon” Nat. Mater. 18, 42–47, 2019.
  • Eltes, F. et al., “A BaTiO 3 -based electro-optic Pockels modulator monolithically integrated on an advanced silicon photonics platform” J. Light. Technol. PP,1, 2019.
  • “Early-stage dynamics of metallic droplets embedded in the nanotextured Mott insulating phase of V2O3”, Ronchi, P. Homm, M. Menghini,  P. Franceschini,  F. Maccherozzi, F. Banfi, G Ferrini, F. Cilento, F. Parmigiani, S.S. Dhesi, M. Fabrizio, J.-P. Locquet and C. Giannetti, , Phys. Rev. B 100, 075111 (2019).
  • "Non-linear signal equalisation using silicon photonic reservoir computing", P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, E. Gooskens, invited ECOC workshop, Dublin, Ireland, September 2019.
  • "Silicon Photonics Reservoir Computing at 32 Gbit/s", P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, E. Gooskens, 5th Workshop on Dynamical Systems and Brain-Inspired Information Processing, Konstanz, Germany, July 2019.
  • "Photonic Delay-based Reservoir Computing Integrated on InP Chip", K. Harkhoe, G. Verschaffelt, A. Katumba, P. Bienstman, G. Van der Sande, CLEO Europe, July 2019.
  • "Neuromorphic information processing using silicon photonics", P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, invited, SPIE Optics and Photonics, San Diego, USA, August 2019.
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