An Automatic Compilation Framework for Configurable Architectures. - Alberto Gallini; Lorenzo Pavesi; Claudio Ferretti; Alberto Rosti; Sara Bocchio (FPL, 2007)

Silicon Nanocrystals as an Enabling Material for Silicon Photonics. - Zhizhong Yuan; Aleksei Anopchenko; Nicola Daldosso; Romain Guider; Daniel Navarro-Urrios; Alessandro Pitanti; Rita Spano; Lorenzo Pavesi (Proc. IEEE, 2009)

Modeling of Slot Waveguide Sensors Based on Polymeric Materials. - Paolo Bettotti; Alessandro Pitanti; Eveline Rigo; Francesco De Leonardis; Vittorio M. N. Passaro; Lorenzo Pavesi (Sensors, 2011)

Role of Edge Inclination in an Optical Microdisk Resonator for Label-Free Sensing. - Davide Gandolfi; Fernando Ramiro-Manzano; Francisco Javier Aparicio Rebollo; Mher Ghulinyan; Georg Pucker; Lorenzo Pavesi (Sensors, 2015)

Design and Optimization of SiON Ring Resonator-Based Biosensors for Aflatoxin M1 Detection. - Romain Guider; Davide Gandolfi; Tatevik Chalyan; Laura Pasquardini; Alina Samusenko; Georg Pucker; Cecilia Pederzolli; Lorenzo Pavesi (Sensors, 2015)

A scalable reduced order modelling approach for whispering-gallery mode resonators. - Giuseppe Abbiati; Fabio Turri; Fernando Ramiro-Manzano; Lorenzo Pavesi; Oreste S. Bursi (ICTON, 2016)

Time resolved electro-optic measurements in strained silicon racetrack resonators. - Massimo Borghi; Mattia Mancinelli; Florian Merget; Jeremy Witzens; Martino Bernard; Mher Ghulinyan; Georg Pucker; Lorenzo Pavesi (ICTON, 2016)

Silicon photonics for switching in next generation data centers. - Lorenzo Pavesi (ICTON, 2016)

Modeling and validation of high-performance and athermal AWGs for the silicon photonics platform. - Stefano Tondini; Claudio Castellan; Mattia Mancinelli; Lorenzo Pavesi (ICTON, 2016)

Silicon photonics for optical switching in data centers. - Lorenzo Pavesi (ICTON, 2017)

Integrated, Scalable and Reconfigurable Silicon Photonics Based Optical Switch for Colorless, Directionless and Contentionless Operation. - Stefano Tondini; Astghik Chalyan; Giorgio Fontana; Lorenzo Pavesi; Nikola Zecevic; Michael Hofbauer; Bernhard Goll; Horst Zimmermann; Stefano Stracca; Alberto Bianchi; Costanza Manganelli; Philippe Velha; et al. (OFC, 2018)

A Free-Space Interferometer for Phase-Delay Measurements in Integrated Optical Devices in Degenerate Pump-and-Probe Experiments. - Fabio Turri; Stefano Biasi; Fernando Ramiro-Manzano; Lorenzo Pavesi (IEEE Trans. Instrum. Meas., 2018)

A Compact TDC-based Quantum Random Number Generator. - Nicola Massari; Leonardo Gasparini; Matteo Perenzoni; Georg Pucker; Alessandro Tomasi 001; Zahra Bisadi; Alessio Meneghetti; Lorenzo Pavesi (ICECS, 2019)

A photonic complex perceptron for ultrafast data processing. - Mattia Mancinelli; Davide Bazzanella; Paolo Bettotti; Lorenzo Pavesi (CoRR, 2021)

A Microring as a Reservoir Computing Node: Memory/Nonlinear Tasks and Effect of Input Non-ideality. - Davide Bazzanella; Stefano Biasi; Mattia Mancinelli; Lorenzo Pavesi (CoRR, 2022)

Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis. - Ilya Auslender; Lorenzo Pavesi (CIBCB, 2023)

Experimental Demonstration of a Photonic Extreme Learning Machine with an Array of Microresonators. - Stefano Biasi; Riccardo Franchi; Lorenzo Pavesi (PSC, 2023)

IM/DD Transmission Equalization with an All-Optical Photonic Neural Network. - Emiliano Staffoli; Mattia Mancinelli; Paolo Bettotti; Lorenzo Pavesi (PSC, 2023)

Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network. - Emiliano Staffoli; Mattia Mancinelli; Paolo Bettotti; Lorenzo Pavesi (CoRR, 2023)

Nonlinear response of Silicon Photonics microresonators for reservoir computing neural network. - Emiliano Staffoli; Davide Bazzanella; Stefano Biasi; Giovanni Donati; Mattia Mancinelli; Paolo Bettotti; Lorenzo Pavesi (CoRR, 2023)

An array of microresonators as a Photonic Extreme Learning Machine. - Stefano Biasi; Riccardo Franchi; Lorenzo Cerini; Lorenzo Pavesi (CoRR, 2023)

Photonic neural networks based on integrated silicon microresonators. - Stefano Biasi; Giovanni Donati; Alessio Lugnan; Mattia Mancinelli; Emiliano Staffoli; Lorenzo Pavesi (CoRR, 2023)

Reservoir-Computing Model for Mapping and Forecasting Neuronal Interactions from Electrophysiological Data. - Ilya Auslender; Giorgio Letti; Yasaman Heydari; Lorenzo Pavesi (CoRR, 2023)

Highly pure 4-qubit states fully integrated in a programmable silicon-photonic chip. - Jong-Moo Lee; Jiho Park; Jeongho Bang; Young-Ik Sohn; Alessio Baldazzi; Matteo Sanna; Stefano Azzini; Lorenzo Pavesi (OFC, 2024)

Toward a Room-Temperature Fully-Integrated Photonic Quantum Simulator. - Matteo Sanna; Alessio Baldazzi; Nicolo Broseghini; Gioele Piccoli; Martino Bernard; Fabio Acerbi; Georg Pucker; Stefano Azzini; Mher Ghulinyan; Lorenzo Pavesi (QCE, 2024)

Quantum Circuit Mapping for Universal and Scalable Computing in MZI-based Integrated Photonics. - Yong Kwon; Alessio Baldazzi; Lorenzo Pavesi; Byung-Soo Choi (CoRR, 2024)

A Silicon Photonic Neural Network for Chromatic Dispersion Compensation in 20 Gbps PAM4 Signal at 125 km and Its Scalability up to 100 Gbps. - Emiliano Staffoli; Gianpietro Maddinelli; Lorenzo Pavesi (CoRR, 2024)

Decoding neuronal networks: A Reservoir Computing approach for predicting connectivity and functionality. - Ilya Auslender; Giorgio Letti; Yasaman Heydari; Clara Zaccaria; Lorenzo Pavesi (Neural Networks, 2025)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)

Nonlinear Distortion Equalization in Multi-Span Optical Links Via a Feed-Forward Photonic Neural Network. - Emiliano Staffoli; Elisabetta Ferri; Stefano Gretter; Lorenzo Pavesi (CoRR, 2025)