Lithium NiObate empowered siLIcon nitride Platform for fragmentation free OPeration in the visible and the NIR

Informazioni relative al progetto

LOLIPOP

ID dell’accordo di sovvenzione: 101070441

DOI

10.3030/101070441

Progetto chiuso

Data della firma CE 23 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 4 996 729,25

Contributo UE

€ 4 996 729,25

Coordinato da

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (1)

Project announcement (Fact sheet, presentation, press release, social accounts) and website

The document will report on the preparation of basic material for the announcement of LOLIPOP project to the general public through the official tools of the EC and the dissemination channels of the consortium partners. The document will also report on the preparation of the project website, presenting its structure and initial content, as well as of LOLIPOP accounts in popular social media. Finally it will provide details of the promotion video of the project that will facilitate towards the awarness of the general public on the project's goals and impact.

Demonstrators, pilots, prototypes (6)

System evaluation of second LDV module (Module-2)

After the release and the evaluation of the second generation LDV module of LOLIPOP the following information will be reported:(i) the methodology and the scenarios for the benchtop testing and evaluation(ii) the evaluation results

System integration of LIDAR module (Module-4) and photonic neural network (Module-5)

The deliverable will describe the results of the functional integration of the LIDAR module (Module-4) with a photonic neural network (Module-5) for immediate frame processing.

System evaluation of photonic neural networks (Modules-5/6)

After the release and the evaluation of the developed photonic neural networks the following information will be reported: (i) the methodology and the scenarios for the benchtop testing and evaluation(ii) the evaluation results

System evaluation of FMCW LIDAR module (Module-4)

After the release and the evaluation of the FMCW LIDAR module of LOLIPOP the following information will be reported:(i) the methodology and the scenarios for the benchtop testing and evaluation(ii) the evaluation results

System evaluation of squeezed state generation engine (Module-3)

After the release and the evaluation of of LOLIPOP's squeezed state generation engine the following information will be reported:(i) the methodology and the scenarios for the benchtop testing and evaluation(ii) the evaluation results

System evaluation of first LDV module (Module-1) and passive OPA unit (Precursor-4)

After the release and the evaluation of the first LDV module and of the passive OPA the following information will be reported: (i) the methodology and the scenarios for the benchtop testing and evaluation(ii) the evaluation results

Data Management Plan (1)

Data management plan

The deliverable will report on the data sets that will be made available in open repositories together with the necessary reference details for access to the open data. It will also provide details of the promotion video of the project that will facilitate towards the awarness of the general public on the project's goals and impact.

Pubblicazioni

Peer reviewed articles (3)

Excimer laser annealing of boron thin-films to fabricate large-area low-defect p+ Si regions

Autori: Vinayak V. Hassan, Asma Attariabad, Lis K. Nanver
Pubblicato in: Solid-State Electronics, Numero 228, 2025, ISSN 0038-1101
Editore: Elsevier BV
DOI: 10.1016/J.SSE.2025.109143

Impact of the Ge-Si interfacial barrier on the temperature-dependent performance of PureGaB Ge-on-Si p  ⁺ n photodiodes

Autori: Lovro Marković, Tihomir Knežević, Lis K. Nanver, Asma Attariabad, Khalifa M. Azizur-Rahman, Jasmine J. Mah, Kang L. Wang, Tomislav Suligoj
Pubblicato in: Optics Express, Numero 32, 2024, ISSN 1094-4087
Editore: Optica Publishing Group
DOI: 10.1364/OE.530466

IEEE Electron Device Letters

Autori: L. K. Nanver, V. V. Hassan, A. Attariabad, N. Rosson and C. J. Arena
Pubblicato in: IEEE Electron Device Letters, 2024, ISSN 0741-3106
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/LED.2024.3391729

Conference proceedings (6)

FTIR-Based Broadband Characterization of NIR Ge-on-Si Photodiodes Using Source Spectrum Reconstruction

Autori: L. Marković, T. Knežević, K. M. Azizur-Rahman, J. J. Mah, L. K. Nanver, A. Attariabad, K. L. Wang, T. Suligoj
Pubblicato in: 2026 49th MIPRO ICT and Electronics Convention (MIPRO), 2026
Editore: IEEE
DOI: 10.1109/MIPRO70003.2026.11591791

Impact of defects on the spectral characteristics of PureB avalanche-mode light emitting diodes

Autori: Eva Jelavic, Lis K. Nanver, Tihomir Kneževic
Pubblicato in: Light-Emitting Devices, Materials, and Applications XXIX, 2025
Editore: SPIE
DOI: 10.1117/12.3043614

Micro-transfer-printing: Alternative to polymeric adhesive bonding

Autori: How Yuan Hwang; Jun Su Lee; Mattia Orvietani; Homa Zarebidaki; Padraic Morrissey
Pubblicato in: NordPac 2026 - IMAPS Nordic Conference on Microelectronics Packaging, Conference and Exhibition, 2026
Editore: IEEE

UV to NIR detection with p+n-type PureB Ge-on-Si photodiodes fabricated on lightly-doped n-Si substrates

Autori: Vinayak Vishwanath Hassan, Asma Attariabad, Tihomir Kneževic, Lis Nanver
Pubblicato in: Silicon Photonics XX, 2025
Editore: SPIE
DOI: 10.1117/12.3042941

High-resolution spatial responsivity of PureB single-photon avalanche diodes using focused-laser scanning

Autori: Tihomir Knezevic, Eva Jelavić, Lovro Marković, Tomislav Suligoj, Lis K. Nanver
Pubblicato in: Optoelectronic Devices and Integration XIV, 2025
Editore: SPIE
DOI: 10.1117/12.3076524

Characterization of heterogeneously integrated periodically polled lithium niobate using optical frequency domain reflectometry

Autori: Sanghoon Chin, Jean-Etienne Tremblay, Homa Zarebidaki, Hamed Sattari, Philip P.J. Schrinner, Ronald Dekker, Karol Obara, Milan Milosevic, Davide Grassani
Pubblicato in: 29th International Conference on Optical Fiber Sensors, 2025
Editore: SPIE
DOI: 10.1117/12.3060994