Carol de Benito

The digital-analog logic gates built around continuous-time chaotic core are constructed using noise, high frequency periodic forcing, constant bias signal and inputs-dependent control system. The square waves encoding logic inputs drive the chaotic system and its nonlinear response is converted to logic output making use of switching between chaotic attractors in clearly distinct regions of…

This paper presents a compact quasi-static model for bipolar Pt/HfO2/TiN ReRAM under slow triangular sweeps below 40 mV/s. The model is formulated in the flux-charge domain, where reset and set transitions are described with a small set of piecewise branches suitable for circuit-level simulation. A key point is the physically consistent ramp-to-flux relation ϕ(V) =…

Memristors, first theorized in 1971 and experimentally confirmed in 2009, have attracted substantial research interest due to their unique characteristics. They are particularly significant in applications like neuromorphic computing and memory storage. However, memristive behavior is not always an isolated phenomenon; it can also emerge as a parasitic effect in various electronic devices. Despite this,…

Stochastic resonance (SR) can be defined as a phenomenon where the response of dynamical nonlinear systems to a weak input signal may be augmented due to the existance of noise tuned to the optimal level. Among others, the SR effect is quantified using measures as the signal-to-noise ratio, the output autocorrelation function, the residence time…

Memristors are one of the four fundamental electrical components, relating electrical quantities such as current, voltage, charge (integral of current), and flux (integral of voltage). First proposed in 1971 and experimentally demonstrated in 2009, memristors have garnered significant research interest due to their unique properties. Among their many applications, neuromorphic computing and memory storage stand…

Autonomous systems have demonstrated high performance in several applications. One of the most important is localisation systems, which are necessary for the safe navigation of autonomous cars or mobile robots. However, despite significant advances in this field, there are still areas open for research and improvement. Two of the most important challenges include the precise…

In this study, we present the impact of irradiation on the memristive properties of solid polymer electrolyte memristor devices with a Ti/PMA/PEO/PMA/(Ti or Au) structure. The devices were measured before irradiation and after 1 krad and 2 krad total doses. The effects of irradiation appear to be an improvement in both conductance and hysteresis after…

In this paper we present a model describing the memristive behavior of a dual filament bulb that includes the thermal coupling between the filaments. The model is implemented with Matlab. The model, that represents the physical mechanisms behind the memristive behavior of filaments and coupling effect, is compiled according to the theoretical framework notation.

The two main issues in the area of the Internet of Things are low-resource consumption and secure data transmission. Conjugating both is fairly hard on ensuring security, leading to great efforts in research. The standard cryptography methods currently proposed are based on simplifications of standard protocols, but are still demanding on resources. Chaotic encryption is…

The two main issues in the area of the Internet of Things are low resources consumption and secure data transmission.

In this work, we present a compact memristor model for bipolar neuromorphic ReRAM devices. The proposed model focuses on a behavioural high level description of the device, and it reproduces some of the most important characteristics (i.e. conductance, energy dissipation), using the number of pulses as the input variable instead of any electrical. Its functionality…

In this work, we study the possibility of utilizing an LED-LDR pair for generating a Physical Unclonable Function. Towards this, the nonlinear response between an optically cou-pled LED-LDR pair, as well as the dynamic behavior of the LDR, were considered. The resulting behavior was highly nonlinear and strongly dependent on the actual physical properties of…

Reservoir computing has become a domain of in-tense research during the last decade. It has emerged as an al-ternative approach to Artificial Neural Networks, demonstrating specific advantages. In this work, we explore the possibility of physical systems to be acting as reservoir computers. Specifically, we have simulated the performance of a reservoir consisting of a…

This work introduces a novel Physically Unclonable Function (PUF) based on the characteristics of Light-Emitting Diodes (LEDs) and Light-Detecting Resistors (LDRs) as long as these are combined. Specifically, we profit from the variations in the optical output of an LED caused by process variations, as well as from the variations in LDRs. In this way,…

The Hindmarsh–Rose model is one of the most used models to reproduce spiking behaviour in biological neurons. However, since it is defined as a system of three coupled differential equations, its implementation can be burdensome and impractical for a large number of elements. In this paper, we present a successful implementation of this model within…