Souhil Kouda

• Dr
• Higher National School of Renewable Energy, Environment & Sustainable Development

Three-dimensional (3D) perovskite solar cells (PSCs) are renowned for their high-power conversion efficiencies (PCEs), yet they face challenges related to performance and stability. This study introduces a new Dion-Jacobson (DJ) 2D-3D lead-free perovskite solar cell (PSC) design with an optimized hole transport layer, reaching a power conversion ef...

This study presents an in-depth theoretical analysis to identify factors that limit the efficiency of lead-free double perovskite solar cells. We assess in detail the impact of the conduction band offset at the electron transport layer (ETL) and the valence band offset at the hole transport layer (HTL), aiming to determine the optimal values for ea...

Abstract— This study explores techniques for modulating the threshold voltage of metal oxide semiconductor field-effect devices. The threshold voltage is a critical characteristic of these transistors. Our analysis examines the factors influencing this parameter and proposes efficient strategies for its adjustment. To validate these approaches...

Abstract— This paper presents investigates how temperature change and changes in the channel dimensions of NMOS transistors affect CMOS (Complementary Metal Oxide Semiconductor) circuit technology. In order to streamline this investigation, we initially identified important variables that define the device's performance and may be vulnerable t...

This study presents a comprehensive investigation into the performance optimization of PbS-TBAI quantum dot solar cells through detailed modeling and experimental validation. Initially, we confirmed the accuracy of our modeling framework by comparing MZO/PbS-TBAI/PbS-EDT solar cells against experimental data, achieving strong agreement. We then exp...

In this paper, an optimized design of (FAPbI3)1-x(MAPbBr3)x perovskite solar cell is numerically investigated using SCAPS-1D software package. A variety of potential charge transport materials are investigated. Cu2O as HTL and ZnO as ETL outperform other choices; they are therefore considered as the best candidates. The impact of the electronic pro...

The selectivity is one of the main challenges to develop a gas sensor, the good chemical species detection in a gaseous mixture decreasing the missed detections. The present paper proposes a new solution for gas sensor selectivity based on artificial neural networks (ANNs) and fuzzy logic (FL) algorithm. We first use ANNs to develop a gas sensor mo...

In this work, a new approach is proposed to design the neutron angle and fluence radiation sensor. It is based on an Artificial Neural Network (ANN) model which has the advantage of efficient nonlinear mapping in addition to noise tolerance. This model allows us to obtain the angle and the fluence radiation from the drain source current, the drain...

In this paper, a design for testability of 10 bits continuous time sigma delta ADC is presented. This new full test technique provides: simple way, 2 external lines and high testability for the circuit's performances. This test is used for different sub-circuits evaluation and characterization to determine the contribution of each part in the total...

The increasing architecture complexity of data converters makes it necessary to use behavioral models to simulate their electrical performance and to determine their relevant data features. For this purpose, a specific data converter simulation environment has been developed which allows designers to perform time-domain behavioral simulations of pi...

The miniaturization of advent Microsystems largely complicated the task of the designers. So design an interface to an application specific sensor induces costs and design time high mainly related to the analog part. To reduce these costs should have been standardized design analog like digital electronics and everyone knows the delay in the analog...

The present work analyses the non-ideal effects of pipelined analog-to-digital converters (ADCs), also sometimes referred to as pipeline ADCs, including the non-ideal effects in operational amplifiers (op-amps or OAs), switches and sampling circuits. We study these nonlinear effects in pipelined ADCs built using CMOS technology and switched-capacit...

One major issue facing the design and the simulation of complex circuits, such as Sigma-Delta modulators (ΣΔM), is the relatively large computing-time; required when using transistor level based simulators. Hence, high-level system modeling is suitable to achieve a time-efficient IC design. In this scope, the aim of the present work is to develop a...

In this paper, we present a behavioral SIMULINK model for the simulation of operational amplifiers (op-amp). The model includes most of the nonlinearities which affect the performance of these circuits, such parameters (noise, finite gain, finite bandwidth, and slew-rate).With the proposed models it is possible to accurately predict with fast simul...

An approach is presented for the high-level simulation and synthesis of discrete-time modulators based on a simulation-based optimization strategy. The high-level synthesis approach determines both the optimum modulator topology and the required building block specifications, such that the system specifications mainly signal to noise ratio (SNR). A...

This work studies the problem of CMOS operational amplifiers (op-amps) optimization. A front Pareto based-MOGA (Multi-Objective Genetic Algorithm) methodology is proposed to optimize the operational amplifier. The proposed approach is used to find the optimal dimensional transistor parameters in order to obtain operational amplifier performances fo...

Sigma delta modulators (ΣΔMs) form part of the core of today's mixed-signal designs. The ongoing research on these devices shows the potential of ΣΔ data converters as a promising candidate for high-speed, high-resolution, and low-power mixed-signal interfaces. This work presents a new accurate behavioral model of a second order law-pass Switched C...

This paper presents a design of a smart humidity sensor. First we begin by the modeling of a Capacitive MEMS-based humidity sensor. Using neuronal networks and Matlab environment to accurately express the non-linearity, the hysteresis effect and the cross sensitivity of the output humidity sensor used. We have done the training to create an analyti...

Purpose – The purpose of this paper is to propose a new approach to optimize the TiO2 concentration on a resistive‐type humidity sensing mechanism (RHSM) based on artificial neural network. Design/methodology/approach – First is the modeling of the sensing mechanism. Using neuronal networks and Matlab environment to accurately express the output o...

In complementary input differential pair circuits, the topology CMOS uses both an nMOS differential pair and a pMOS differential pair connected in parallel however, it produces variations in the transconductance over the input common mode range. To avoid the problem of transconductance variations, a new structure, consists of two op-amps one n-type...

A behavioral model of a second order switched-capacitor Sigma-Delta modulator is presented. The purpose of this work is the presentation of a behavioral model of a second order switched capacitor sigma Delta modulator considering (Error due to Clock Jitter, Thermal noise Amplifier Noise, Amplifier Slew-Rate, Non linearity of amplifiers, Gain error,...

This work aims to achieve an optimization of the TiO2 and PMAPTAC concentrations in a chemical resistive-type humidity sensing mechanism (RHSM). Our idea is based primarily on the modeling of the sensing mechanism. This model takes into account the parameters of non-linearity, hysteresis, temperature, frequency, substrate type. Furthermore, we inve...

This paper presents a design of a smart humidity sensor. First we begin by the modeling of a thermal-conductivity based humidity sensor (THS). Using neuronal networks and Matlab environment to accurately express the non-linearity, the cross sensitivity and the hysteresis of the output sensor used. We have done the training to create an analytical m...

A rail to rail input common mode range is an important requirement in operational amplifiers for some applications. The most common method for implementing full range operation is by using a complementary differential pair. It is simply a compound structure that consists of NMOS and PMOS differential pairs connected in parallel. The compound struct...

This work aims to achieve a design of a smart humidity sensor, the goal of this study is to eliminate the non-linearity and the cross sensitivity of the output sensor used. The humidity sensor is a MEMS capacitive kind. Using neuronal networks and Matlab environment we have done the training to design an analytical model ANN and create a model for...