SOURCE-LINKED INTELLIGENCE

Ferroelectric 2D materials heterostructures for optical neuromorphic device functionalities

CORDIS · observation · Publication date unknown

evelop all-optical neuromorphic components. Traditional computing architectures, particularly von Neumann-based systems, are increasingly limited in addressing the demands of modern applications like artificial intelligence (AI), machine learning, and edge computing. Neuromorphic systems, which emulate the architecture and functions of the human brain, offer a potential solution by improving computational efficiency, speed, and energy consumption. However, implementing neuromorphic systems in real-world applications, particularly using photonic approaches, remains a challenge. 2DFERROPLEX aims to address these challenges by developing novel materials, devices, and architectures that will enable all-optical control in neuromorphic computing systems, drastically improving computational efficiency and reducing power consumption. The primary objective of 2DFERROPLEX is to demonstrate how 2D heterostructures can be utilized as key components in all-optical neuromorphic systems. By leveraging the unique properties of 2D ferroelectrics, such as tunable ferroelectric polarization and exciton

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recordType

award

status

SIGNED

region

EU

value

3893032

unit

EUR