A5102986282- Electrocatalysts for Energy Conversion
- Catalytic Processes in Materials Science
- CO2 Reduction Techniques and Catalysts
- Supercapacitor Materials and Fabrication
- Fuel Cells and Related Materials
- Advanced battery technologies research
- Catalysts for Methane Reforming
- Conducting polymers and applications
- Advanced Photocatalysis Techniques
- Process Optimization and Integration
- Advanced Thermoelectric Materials and Devices
- Catalysis and Hydrodesulfurization Studies
- Ionic liquids properties and applications
- Advancements in Battery Materials
- Electrochemical sensors and biosensors
- Biodiesel Production and Applications
- Catalysis and Oxidation Reactions
- Electrospun Nanofibers in Biomedical Applications
- Transition Metal Oxide Nanomaterials
- Microbial Metabolic Engineering and Bioproduction
- Hybrid Renewable Energy Systems
- Pharmacological Effects and Assays
- Biofuel production and bioconversion
- Anaerobic Digestion and Biogas Production
- Advanced Control Systems Optimization
King Faisal University
2016-2025
Renewable Energy Systems (United States)
2016
King Fahd University of Petroleum and Minerals
2010-2012
Sugar industries generate substantial quantities of waste biomass after the extraction sugar water from sugarcane stems, while biomass-derived porous carbon has currently received huge research attention for its sustainable application in energy storage systems. Hence, we have investigated bagasse (WSB) as a cheap and potential source supercapacitors. The electrochemical capacitive performance WSB-derived was further enhanced through hybridization with silicon dioxide (SiO2) cost-effective...
This paper presents the experimental investigation of copper loaded carbon nanotubes (CNTs) electrocatalysts for electrochemical reduction dioxide. The were synthesized by homogeneous deposition precipitation method (HDP) using urea as precipitating agent. prepared catalysts characterized TEM, SEM, XRD, XPS, BET, and FTIR their morphology structure. Characterization results confirm Cu nanoparticles (3–60 nm) on CNTs. Linear sweep voltammetry (LSV) chronoamperometry (CA) used to investigate...
Neonicotinoid pesticides are increasingly being used in agriculture and farming sectors, which can have hostile effects on the environment water resources. All living creatures including humans had forcefully consumed from this cancerous neonicotinoid pesticide, imidacloprid. Herein, our study reported a novel free-standing electrochemical sensor for ultrasensitive discriminatory detection of imidacloprid (IM) pesticide using cobalt metal-organic framework (MOF) anchored graphite rod (GR)....
This study investigates the development of sustainable nanocomposites using recycled polyethylene terephthalate (RPET) and polyamide 11 (PA-11) blends reinforced with graphene nanoplatelets (GNPs). RPET/PA-11 were compatibilized 2 phr Joncryl® processed melt blending followed by injection moulding. The effects varying GNP contents (1–4 phr) on mechanical, thermal, flame-retardant properties analysed. nanocomposite 1 GNPs exhibited an optimal balance flame-retardant, thermal properties, along...
Carbon dioxide (CO2) is considered as the prime reason for global warming effect and one of useful ways to transform it into an array valuable products through electrochemical reduction CO2 (ERC). This process requires efficient electrocatalyst with high faradaic efficiency at low overpotential enhanced reaction rate. Herein, we report innovative way reducing using copper-metal supported on titanium oxide nanotubes (TNT) electrocatalysts. The TNT support material was synthesized alkaline...
Polypyrrole (PPy) nanoparticles are reliable conducting polymers with many industrial applications. Nevertheless, owing to disadvantages in structure and morphology, producing PPy high electrical conductivity is challenging. In this study, a chemical oxidative polymerization-assisted ultra-sonication method was used synthesize conductivity. The influence of critical sonication parameters such as time power on the structure, properties examined using response surface methodology. Various...
The increasing interest in renewable and sustainable energy production as a means of attaining net-zero carbon emissions the near future has spurred research attention development fuel cells that convert chemical to electrical energy. In this study machine learning algorithms namely Support Vector Machine (SVM) regression, Regression Trees, Gaussian Process (GPR) were configured for modeling effect palladium supported on nanotube used formic acid electro-oxidation. process parameters such...
Organic-rich substrates from organic waste effluents are ideal sources for hydrogen production based on the circular economy concept. In this study, a data-driven approach was employed in modeling palm oil mill and activated sludge waste. Seven models built support vector machine (SVM) Gaussian process regression (GPR) were of sources. The SVM incorporated with linear kernel function (LSVM), quadratic (QSVM), cubic (CSVM), fine (GFSVM). While GPR rotational (RQGPR), squared exponential...
In this work, bimetallic PdxCoy nanoparticles supported on nitrogen-doped reduced graphene oxide catalysts were synthesized and tested for formic acid oxidation as potentially efficient durable electrocatalysts. Graphene was nitrogen doped through hydrothermal chemical reduction with urea a source. The deposited the support using impregnation-reduction method sodium borohydride reducing agent citrate dihydrate stabilizing agent. structural features, such phases, composition, states, particle...