Federico Ravera

Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38^o ciclo (2022-2025)

Dottorato concluso nel 2026

Tesi:

Advancing Molecular-Field Coupled Nanocomputing actualization: Unifying device fabrication, molecular modelling, and integration strategies

Tutori:

Gianluca Piccinini Mariagrazia Graziano

Profilo

Argomento di ricerca

Molecular Field Coupled Nanocomputing, with focus on fabrication and prototyping

Interessi di ricerca

Micro- and nanotechnologies, devices, systems and applications

Biografia

I attended both Bachelor's and Master's degree at Politecnico. In particular, I followed the "Electronic Micro and Nano systems" path given my personal interesting to micro and nano scale technology development. My master studies ended in July 2022 with the thesis titles "Design of Neural Network based on molecular Field-Coupled Nanocomputing", in which I analysed the possibilty of implementing neural networks based on the molecular Field-Coupled Nanocomputing paradigm.
Then, I started my Ph.D. studies in November 2022. The main objective of my research is molecular Field Coupled Nanocomputing. In particular, my focus is to explore fabrication possibilities for this technology, together with the proposal of prototyping solutions.

Premi e riconoscimenti

Best Poster Award CNR-IMM Doctoral School (2024)

Didattica

Insegnamenti

Corso di laurea magistrale

Workshop "Innovative systems". A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
Technology for Nanoelectronic Systems & Nanoelectronic Systems (modulo di Nanoelectronic systems). A.A. 2023/24, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso

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Corso di laurea di 1° livello

Elettronica dei sistemi digitali. A.A. 2022/23, INGEGNERIA ELETTRONICA. Collaboratore del corso
Elettronica dei sistemi digitali. A.A. 2023/24, INGEGNERIA ELETTRONICA. Collaboratore del corso
Elettronica dei sistemi digitali. A.A. 2024/25, INGEGNERIA ELETTRONICA. Collaboratore del corso

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Pubblicazioni

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

Ravera, Federico; Medrano Sandonas, Leonardo; Gutierrez, Rafael; Graziano, Mariagrazia; ... (2025)
Are nonequilibrium effects relevant for chiral molecule discrimination?. In: THE JOURNAL OF CHEMICAL PHYSICS, vol. 163. ISSN 0021-9606
Contributo su Rivista
Ravera, Federico; Listo, Roberto; Mo, Fabrizio; Farchetti, Gabriele; Beretta, Giuliana; ... (2025)
Molecular Junctions for an Effective Readout in Molecular Field-Coupled Nanocomputing. In: 2025 IEEE 25th International Conference on Nanotechnology (NANO), Washington DC (USA), 13-16 July 2025, pp. 527-532. ISBN: 979-8-3315-1271-2
Contributo in Atti di Convegno (Proceeding)
Barile, Giorgia; Ravera, Federico; Ardesi, Yuri; Mo, Fabrizio; Piccinini, Gianluca; ... (2025)
First principles investigation of hydrogen passivation for selective atomic layer deposition of Pt, Cu, and Au metals. In: NANOSCALE, vol. 17, pp. 14913-14923. ISSN 2040-3364
Contributo su Rivista
Ferrero, Elena; Ravera, Federico; Listo, Roberto; Ardesi, Yuri; Piccinini, Gianluca; ... (2025)
Technology and Power-aware Investigation of Nanostructures for Molecular Field-Coupled Nanocomputing. In: IEEE Computer Society Annual Symposium on VLSI ISVLSI 2025, Kalamata (GR), JUL 06-09, 2025, pp. 322-327. ISBN: 979-8-3315-3477-6
Contributo in Atti di Convegno (Proceeding)
Listo, Roberto; Mo, Fabrizio; Ravera, Federico; Vezzoli, Andrea; Vacca, Marco; ... (2025)
Rotaxane-Based Single Molecule Junctions for Memory Applications. In: 2025 IEEE 25th International Conference on Nanotechnology (NANO), Washington DC (USA), 13-16 July 2025, pp. 75-79. ISBN: 979-8-3315-1271-2
Contributo in Atti di Convegno (Proceeding)
Listo, Roberto; Mo, Fabrizio; Ravera, Federico; Ardesi, Yuri; Vacca, Marco; Piccinini, ... (2025)
Unfolding Potential and Challenges in Molecular Field-Coupled Nanocomputing. In: NANO FUTURES, vol. 9, pp. 1-8. ISSN 2399-1984
Contributo su Rivista
Ravera, Federico; Beretta, Giuliana; Ardesi, Yuri; Graziano, Mariagrazia; Piccinini, ... (2024)
Addressing multi-molecule field-coupled nanocomputing for neural networks with SCERPA. In: JOURNAL OF COMPUTATIONAL ELECTRONICS. ISSN 1569-8025
Contributo su Rivista
Listo, Roberto; Ravera, Federico; Beretta, Giuliana; Ardesi, Yuri; Piccinini, Gianluca; ... (2024)
Unveiling Charge Dynamics in Molecular Field-Coupled Nanocomputing. In: IEEE 24th International Conference on Nanotechnology (NANO), Gijon (Spain), 08-11 July 2024, pp. 424-429. ISBN: 979-8-3503-8624-0
Contributo in Atti di Convegno (Proceeding)
Ravera, F.; Ardesi, Y.; Piccinini, G.; Graziano, M. (2024)
Technology-Aware Simulation for Prototyping Molecular Field-Coupled Nanocomputing. In: IEEE TRANSACTIONS ON NANOTECHNOLOGY, vol. 23, pp. 521-528. ISSN 1941-0085
Contributo su Rivista
Ardesi, Yuri; Ravera, Federico; Piccinini, Gianluca; Graziano, Mariagrazia (2024)
Modeling Molecules for Field-Coupled Nanocomputing Circuit Design. In: IEEE 24th International Conference on Nanotechnology (NANO), Gijon (Spain), 08-11 July 2024, pp. 430-435. ISBN: 979-8-3503-8624-0
Contributo in Atti di Convegno (Proceeding)
Ravera, Federico; Beretta, Giuliana; Ardesi, Yuri; Krzywiecki, Maciej; Graziano, ... (2023)
A Roadmap for Molecular Field-Coupled Nanocomputing Actualization. In: 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC), Paestum (IT), 22-25 October 2023, pp. 212-213. ISBN: 979-8-3503-3546-0
Contributo in Atti di Convegno (Proceeding)

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