20222022 IEEE 22nd International Conference on Nanotechnology (NANO)Open access

Unconventional Logic on Unipolar CBRAM Based Oscillators

Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, Stavros Kitsios, Panagiotis Bousoulas, Michail‐Antisthenis Tsompanas, D. Tsoukalas, Georgios Ch. Sirakoulis

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Abstract

Plenty of unconventional computing techniques aim to compete with, if not outperform, traditional computers in solving high-complexity problems. The classical von Neumann computing architecture depends on centralized and sequential data processing, while biological nervous systems work on principles of distributed, parallel, and event-driven operations. Spiking or oscillation based computing is emerging as a valuable candidate on implementing these principles in circuit level. In this work we are exploiting the unipolar behavior of fabricated CBRAM devices to design a memristor-based oscillator capable of performing computations through oscillation interactions. A compact physical CBRAM model has been utilized, which has been fitted in the fabricated devices, to extract an accurate and realistic circuit simulation.

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What this paper is about

Plenty of unconventional computing techniques aim to compete with, if not outperform, traditional computers in solving high-complexity problems. The classical von Neumann computing architecture depends on centralized and sequential data processing, while biological nervous systems work on principles of distributed, parallel, and event-driven operations. Spiking or oscillation based computing is emerging as a valuable candidate on implementing these principles in circuit level. In this work we are exploiting the unipolar behavior of fabricated CBRAM devices to design a memristor-based oscillator capable of performing computations through oscillation interactions. A compact physical CBRAM model has been utilized, which has been fitted in the fabricated devices, to extract an accurate and realistic circuit simulation.

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Available abstract

Plenty of unconventional computing techniques aim to compete with, if not outperform, traditional computers in solving high-complexity problems. The classical von Neumann computing architecture depends on centralized and sequential data processing, while biological nervous systems work on principles of distributed, parallel, and event-driven operations. Spiking or oscillation based computing is emerging as a valuable candidate on implementing these principles in circuit level. In this work we are exploiting the unipolar behavior of fabricated CBRAM devices to design a memristor-based oscillator capable of performing computations through oscillation interactions. A compact physical CBRAM model has been utilized, which has been fitted in the fabricated devices, to extract an accurate and realistic circuit simulation.

Key concepts: Memristor, Von Neumann architecture, Unconventional computing, Computer science, Computation, Oscillation (cell signaling), Logic gate, Neuromorphic engineering

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