ASER-META

PROJECT

Device prototyping

Fabrication of an optical 2×4 reconfigurable switch, electrically controlled by a FPGA
module.

The prototype is to be considered as a proof of concept for the MOS active-matrix
approach to the metamaterial configuration.

Is it possible to define a low-cost process for the fabrication of photonic
programmable switches?

The result obtained in the end of this project has the potential to contribute for improving the digital competence of the future society, as the optical computing paradigm as several major advantages like low power, low junction heating, high speed, dynamically scalable and reconfigurable into smaller or larger networks or topologies, massive parallel computing ability and AI applications.

THE IDEA

An MOS structure (Au/ITO/SiNx/a-Si:H) can be used, in a process very similar to the channel creation in a standard TFT, to electrically and dynamically create a localized accumulation of charge and a corresponding local alteration of the a-Si:H refractive index.

A matrix distribution of these MOS structures, controlled by programmable FPGA hardware on the upper surface of an a-Si:H MMI, allows the dynamical electrical configuration of the material’s refractive index.

Each MOS is treated just like a pixel and controlled by an active-matrix scheme. A previous definition of the voltage images, optimized by joining FDTD simulations and a machine learning approach, permits the switching operation and to control over the output channels, allowing the generation of completely independent functions, with real-time reconfigurability controlled by FPGA hardware systems.

FUNDING

Funding parties

ASER-META

Activity years:

2023 – 2024

Funding body:

Fundação para a Ciência e a Tecnologia, I.P

Reference:

2022.07694.PTDC

Host Institution:

Instituto Superior de Engenharia de Lisboa (ISEL)

Integrated photonics represents an unmatched opportunity for implementing an unconstrained variety of programmable functions. It is considered as the key technology for future applications in optical transceivers, ASIC integration, 3D imaging and sensing device in biomedics or light detection and ranging (LIDAR) systems for automotive industry.

Nevertheless, industry has failed, until now, in demonstrating large-scale deployment of Photonics Integrated Circuits (PICs) achieving an economy of scale like those attained by Application Specific Integrated Circuits (ASICs) in microelectronics. Anyway, there is still a great expectation for this roadmap and great interest has been posed, among others, in the application of photonic switching structures, aiming to the development of programmable devices for optical data processing.

The switching operation in the devices proposed and described in literature are typically based on electro-optical and thermo-optical mechanisms. Induced phase changes have also been demonstrated to allow reconfigurable bistable functions. Whichever the supporting physical effect, the switching mechanism is based on fine tuning the refractive index of suitable materials incorporated in the device. An interesting approach, recently reported, uses a nanostructured material geometry to create an arbitrary distribution of the refractive index values, allowing power splitting with arbitrary input and output directions. The integration of subwavelength-structured metasurfaces and metamaterials on the standard optical waveguides is gradually reshaping the landscape of photonic integrated circuits, giving rise to numerous meta-waveguides with unprecedented control capabilities.

Within this context, the application of machine learning techniques allows the project of metamaterial-based devices that can be fabricated in the traditional semiconductor process. At the same time, a novel approach, based on waveguide with multi-micron dimension, allowing a better polarization and process tolerance management, has been recently proposed, and the fabrication tolerance induced by a multi-micron dimension paves the way to a new efficient use of hydrogenated amorphous silicon (a-Si:H) deposited with the PECVD method. PECVD is the technique that enables the low-cost fabrication (and commercialization) of large area flat panel displays, where each pixel is controlled individually by a single a-Si:H Thin Film Transistor (TFT) in an active-matrix configuration.

The idea hereby proposed is based on joining these three characteristics (metamaterial-based devices, PECVD materials and Active-Matrix control) to develop a programmable switching function on a MMI structure with multiple input/output ports. Due to its intrinsic low conductivity, a-Si:H lateral transport effects are naturally confined to the region of the charge source. So, an MOS structure (Au/ITO/SiNx/a-Si:H) can be used, in a process very similar to the channel creation in a standard TFT, to electrically and dynamically create a localized accumulation of charge and a corresponding local alteration of the a-Si:H refractive index.

A matrix distribution of these MOS structures, controlled by programmable FPGA hardware on the upper surface of an a-Si:H MMI, allows the dynamical electrical configuration of the material’s refractive index. Each MOS is treated just like a pixel and controlled by an active-matrix scheme. A previous definition of the voltage images, optimized by joining FDTD simulations and a machine learning approach, permits the switching operation and to control over the output channels, allowing the generation of completely independent functions, with real-time reconfigurability controlled by FPGA hardware systems.

RESEARCHERS

Alessandro Fantoni
Alessandro Fantoni

Alessandro Fantoni was born in Rome (Italy) in 1966. He received a university degree in applied mathematics from the University of Camerino, Italy (1992), and a PhD in Material Engineering/Micro and Optoelectronics from the New University of Lisbon, Portugal (1999). Presently he is a Coordinator Professor at the Electronics, Telecommunications and Computer Department of the Engineering Institute of Lisbon and he is a member of the UNINOVA-CTS research centre in Caparica (Portugal).

Researcher in charge
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