H2020Индивидуална стипендия2020–2022

FAST · Ferroelectric Acousto-optic Synaptic Technology (FAST)

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2020-08-01 → 2022-07-31
Финансиране от ЕС: 178 320 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Фероелектричните материали се изследват за създаване на устройства, които имитират синапсите в мозъка чрез управление на светлинни сигнали. Това помага за разработването на по-бързи и енергоефективни компютърни системи за обработка на реч и изображения.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Ferroelectric Acousto-optic Synaptic Technology (FAST)

The exponential increase in mobile phones, web content, the internet of things (IoT), and artificial intelligence-based technologies have enthused the scientific community to develop fast and energy-efficient devices. Technological bottlenecks in existing von-Newman computing systems have encouraged to consider alternative technology options. One of the prominent ideas is to develop brain-inspired hardware/ neuromorphic devices. Such devices operate at very low energies by mimicking the functioning of the basic building blocks of a human brain – neurons, and synapses. Developing such devices need a fundamental understanding of device materials and their behavior which could be fitted to mathematical models to perform real-life computing tasks such as image and speech processing. To address this, the proposed action explores a particular class of inorganic materials known as ferroelectric (special class of materials that have the ability to respond to mechanical stress, temperature change, applied electric field, and even light exposure). The action utilised mechano-electro-optic interactions in these materials for developing acousto-optic modulators. Such devices could act as synapses that will split the information in an optical signal into multiple channels and recombine them at the receiver end. The ultimate goal is to demonstrate how these devices could be used in neurosynaptic networks to perform complex computing tasks. The interdisciplinary research project will unite the expertise in materials science, electronics, photonics, and on-chip devices under one roof. A positive outcome of this action will lead to a breakthrough in the development of next-generation computing devices and associated fundamental science.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Efforts are being made to develop bio-inspired optical neuro-synaptic networks to support “neuromorphic computing” for ultra-fast communication. The idea is to split the information of an optical signal using an “acousto-optic modulator” (synapse) into multiple signals. The signals are then communicated through multiple parallel channels similar to neurons and recombined at the receiver end by using another acousto-optic modulator. Such neuro-synaptic networks are targeted for less than 100 mW power budget and greater than 100 GHz communication bandwidths which are currently hindered by the performance of the piezoelectric transducer used in the acousto-optic modulators. It generates high-frequency acoustic waves inside the attached waveguide which act as dynamic optical gratings offering periodic modification of the refractive index of the medium through which the light is traveling. To solve this issue, the applicant proposes exploring optically birefringent ferroelectrics with strong elasto-optic coefficients as stand-alone acousto-optic modulators. The project aims for the development of a CMOS compatible 100 GHz-THz range ferroelectric acousto-optic modulator (FAOM) and it's integration in a self-learning neuro-synaptic network. The applicant will unite his expertise in materials engineering and photo-ferroelectrics with Katholieke Universiteit Leuven’s (KUL) and IBM’s knowledge of the integration and characterization of neuromorphic networks with the following objectives: 1. Growth of CMOS compatible strain-engineered BaTiO3 (BTO) heterostructures.2. Fabrication and characterization of two CMOS integrated ferroelectric (BTO) acousto-optic modulator designs based on (2.1) photo-induced acoustic strain gradients by optical control of ferroelectric domains and (2.2) acoustic confinement. 3. Demonstration of FAOM-based self-learning optical convolution neuro-synaptic network.

Оригинален текст от CORDIS (на английски).

Участници

KATHOLIEKE UNIVERSITEIT LEUVEN · LeuvenКоординаторБелгия