Accueil › Annuaire des chercheurs › Walid Filali
Walid Filali
Affiliation : Centre de Développement des Technologies Avancées
- 47Publications (affiliation algérienne)
- 49Publications au total
- 389Citations
- 12Indice h
Profil de recherche
Walid Filali compte 47 publications référencées (2017–2026). Ses travaux paraissent principalement dans « International Multi-Conference on Systems, Signals & Devices (SSD) », « Zeitschrift für Naturforschung A » et « Optical Materials ». Son article le plus cité, « Investigation of the effects of thermal annealing on the structural, morphological and optical properties of nanostructured Mn doped ZnO thi » (2021), a été cité 45 fois. 22 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs.
C’est vous ? Faites connaître vos travaux
Créez gratuitement votre profil DzCademia et ajoutez vos articles : ils apparaîtront plus facilement sur Google et dans les assistants d’IA comme ChatGPT. Plus de personnes pourront vous lire et vous citer.
Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- ZnO doping and properties
- Thin-Film Transistor Technologies
- Semiconductor materials and interfaces
- Semiconductor materials and devices
- Metaheuristic Optimization Algorithms Research
Publications (47)
- Influence of Si Content on the Structural, Mechanical, Tribological, and Wettability Properties of Al-Si–N Thin Films
- Self‐Powered Photodetector Based on β‐Ga 2 O 3 / GaN Heterojunction With Enhanced UV Detectivity
- Structural and optoelectronic properties of dusty-plasma-grown Si:H films near the amorphous–nanocrystalline transition
- Investigation of annealing environment effect on the structural, morphological, and linear/nonlinear optical properties of nanostructured Mn-doped ZnO thin films
- Effects of Annealing Time on the Structural, Optical, and Mechanical Properties of ZnO Thin Films Prepared by Flash Thermal Evaporation
- Investigation of the effect of Si content on the structural, mechanical, and tribological properties of TiAlN/AlSi protective multilayers
- Investigation of Vibrational Bonding Modes in Hydrogenated Silicon Thin Films Near the Amorphous-to-Nanocrystalline Transition via Argon-Diluted Silane PECVD
- Efficient whale optimization algorithm to extract electrical parameters of different CMOS based diodes
- Fully Transparent and Self-Powered Planar Photodetector Based on $\beta-\text{Ga}_{2}\mathrm{O}_{3}$ Thin Film
- Correction: Effects of Annealing Time on the Structural, Optical, and Mechanical Properties of ZnO Thin Films Prepared by Flash Thermal Evaporation
- Comparative Analysis of Pure ZnO, Ag-Mn Codoped ZnO, and Mn:ZnO/Ag/Mn:ZnO Multilayer Transparent Conductive Oxides for Photovoltaic Applications
- Ag-doped ZnO nanostructured thin films for transparent antibacterial surfaces: Effect of Ag content
- On the substrate heating effects on structural, mechanical and linear/non-linear optical properties of Ag–Mn co-doped ZnO thin films
- Structural and optical properties of highly Ag-doped TiO2 thin films prepared by flash thermal evaporation
- Electrical and optical performances investigation of planar solar blind photodetector based on IZTO/Ga2O3 Schottky diode via TCAD simulation
- Optical parameters extraction of zinc oxide thin films doped with manganese using an innovative technique based on the dragonfly algorithm and their correlation to the structural properties
- Machine learning-based method for predicting C–V-T characteristics and electrical parameters of GaAs/AlGaAs multi-quantum wells Schottky diodes
- Electrical Parameters Extraction of Diode Using Whale Optimization Algorithm
- Investigation structural heterogeneities in hydrogenated nanocrystalline silicon thin films from argon-diluted silane dusty plasma PECVD
- Studying the Effect of Mn Doping on the Electrical and Optical Properties of ZnO/Ag/ZnO Multilayer
- Effect of Ti/TiN Thin Film Geometircal Desing on the Response of RTDs
- Electrical Characterization of CMOS 1µ Twin Well Technology Based Designed Diodes
- Investigation of structural and electrical properties of ITO thin films and correlation to optical parameters extracted using novel method based on PSO algorithm
- Comparative study of structural, optical and electrical properties variation of pure, (Ag, Mg) doped and co-doped ZnO nanostructured thin films
- Elaboration and characterization of pure ZnO, Ag:ZnO and Ag-Fe:ZnO thin films: Effect of Ag and Ag-Fe doping on ZnO physical properties
- Artificial intelligence approach to analyze SIMS profiles of11B,31P and75As in n- and p-type silicon substrates: experimental investigation
- Fabrication and characterization of Ti/TiN- based resistance temperature detector
- β-Ga2O3-Based Photodiode Performances Investigation: Simulation Study
- Structural, Optical and Electrical Properties of Pure and Ag, Mn co doped ZnO Thin Films for Photovoltaic Applications
- Modeling of p+/n-well and n+/p-well Diodes Based on 1μm CMOS Technology Using GWO Algorithm
- Analysis of I–V-T characteristics of Be-doped AlGaAs Schottky diodes grown on (100) GaAs substrates by molecular beam epitaxy
- Tailoring the structural and optical properties of HiPIMS TiO2 thin films for photovoltaic applications
- Investigation of the Deposition Time Effect on the Structural, Morphological, and Mechanical Properties of TiAlN Protective Thin Films
- Fabrication and characterization of ZnO/Al2O3 thin film transistors: channel length effect study
- Investigation of the effects of thermal annealing on the structural, morphological and optical properties of nanostructured Mn doped ZnO thin films
- Elaboration and Characterization of Mg-Doped ZnO Thin Films by Thermal Evaporation: Annealing Temperature Effect
- Artificial bee colony algorithm: a novel strategy for optical constants and thin film thickness extraction using only optical transmittance spectra for photovoltaic applications
- Optimal identification of Be-doped Al0.29Ga0.71As Schottky diode parameters using Dragonfly Algorithm: A thermal effect study
- Multi-guard ring TCAD simulations for different n-on-p planar silicon particle detectors
- A Comparative study by TCAD Simulation for two different planar n-on-p silicon particle detectors with different guard ring implant type
- Comparative study of various methods for extraction of multi- quantum wells Schottky diode parameters
- Effect of Annealing on the Dark and Illuminated I(V ) Characterization of a ZnO:Ga|Cu2O Hetero-Junction Prepared by Ultrasonic Spray System
- Modeling the irradiance dependency of photovoltaic modules using Artificial Neural Network
- A Novel Parameter Identification Approach for C–V–T Characteristics of Multi-Quantum Wells Schottky Diode Using Ant Lion Optimizer
- Photovoltaic module parameters extraction using best-so-far ABC algorithm
- Simulation of p-type Schottky Diode Based on Al0.29Ga0.71As with Titanium/Gold Schottky Contact
- Characterisation of temperature dependent parameters of multi-quantum well (MQW) Ti/Au/n-AlGaAs/n-GaAs/n-AlGaAs Schottky diodes
Revues de publication
- International Multi-Conference on Systems, Signals & Devices (SSD) × 4
- Zeitschrift für Naturforschung A × 3
- Optical Materials × 3
- Silicon × 2
- Inorganic Chemistry Communications × 2
- JOM × 2
Publications par année
- 20263
- 20258
- 202411
- 20238
- 20224
- 20216
- 20203
- 20192
- 20181
- 20171
Collaborations
Établissements partenaires : University of Algiers Benyoucef Benkhedda · Université Oran 1 Ahmed Ben Bella · University of Biskra · University Yahia Fares of Medea · University of Skikda
Co-auteurs
- Elyes Garoudja
- Slimane Oussalah
- Fouaz Lekoui
- Rachid Amrani
- Salim Hassani
- Nouredine Sengouga
- Laid Henni
- Amina Benalia
- Driss Dergham
- Hocine Akkari
- Mohammed Mekheldi
- Mohammed Ouchabane
Données bibliographiques issues d’OpenAlex (base ouverte).
Pourquoi choisir Dzcademia ?
Pour donner à vos travaux plus de chances d’être découverts et recommandés par les IA. Profils, articles et communications : donnez à votre recherche une présence publique structurée. Les métadonnées intégrées aident les moteurs de recherche et les assistants IA à identifier vos travaux et à comprendre leurs références.
Commenter avec Google
Connecte-toi avec Google pour commenter directement sur cette page.