Department of Electrical Engineering Research Articles

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    Pseudocapacitive material for energy storage application: PEDOT and PEDOT:PSS
    (AIP Publishing., 2020-11-26) Adekoya, Gbolahan Joseph; Sadiku, Rotimi Emmanuel; Hamam, Yskandar; Ray, Suprakas Sinha; Mwakikunga, Bonex Wakufwa; Folorunso, Oladipo; Adekoya, Oluwasegun Chijoke; Lolu, Olajide Jimmy; Biotidara, Olusesan Frank
    The total volume of solar energy reaching the earth in every second is equivalent to the total energy usage by the entire human race for three days. With this vast amount of clean energy freely available to humanity, there is still heavy dependence on fossil resources for energy. The major challenge with the use of fossil-based fuel is the generation of both land and atmospheric pollutants, which adversely affect the ecosystem. However, an essential requirement in transitioning from fossil energy to clean energy is the use of effective energy storage systems. Poly(3,4-ethylenedioxythiophene) (PEDOT) and poly (4-styrene sulfonate) (PSS) PEDOT:PSS is currently one of the highly researched semi-conducting polymers that form the vast and expanding literature on energy application. Owing to its high electrical conductivity, thermal stability, and film-forming ability, PEDOT and its derivatives are employed for pseudocapacitive storage applications. This review will present a detailed discussion on the synthesis, properties, and application of PEDOT:PSS for battery and ultracapacitors. Highlights on the recent development and outlook in the use of PEDOT and its derivatives for energy application will also be provided.
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    Comparative study of graphene-polypyrrole and borophene-polypyrrole composites: molecular dynamics modeling approach
    (Growing Science Ltd., 2021-01-19) Folorunso, Oladipo; Hamam, Yskandar; Sadiku, Rotimi; Ray, Suprakas Sinha; Adekoya, Gbolahan Joseph
    In the search for the solution to energy storage problems, this study investigates the interfacial energy interaction and temperature stability of the composites made of polypyrrole-graphene-borophene (PPy-Gr-Bon) by using molecular dynamics simulations. From the calculated thermodynamics and interfacial energies of the system, comparisons between the ternary and the binary-binary systems were made. The materials in the entity show a good degree of temperature stability to a dynamic process at 300, 350, 400, and 450 K. Moreso, at 300 K, the interaction energy of PPy-Gr, PPy-Bon, and PPy-Gr-Bon are: -5.621e3 kcal/mol, -26.094e3 kcal/mol, and -28.206e3 kcal/mol respectively. The temperature stability of the systems is in the order of: PPy-Gr-Bon > PPy-Bon > PPy-Gr. The effect of temperature on the interaction energy of the systems was also investigated. The ternary system showed higher stability as the temperature increased. In addition, the radial distribution function computed for the three systems revealed that there is a strong, but non-chemical bonding interaction between PPy-Gr-Bon, Bon-PPy, and Gr-PPy. By considering the excellent mechanical properties of PPy-Gr-Bon and the already established high electrical conductivity and chemical stability of Gr, Bon and PPy, their composite is therefore suggested to be considered for the manufacturing of electrochemical electrodes.
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    A mini-review of artificial intelligence techniques for predicting the performance of supercapacitors
    (Elsevier Ltd., 2022-05-18) Adekoya, Gbolahan Joseph; Adekoya, Oluwasegun Chijioke; Ugo, Ugonna Kingsley; Sadiku, Emmanuel Rotimi; Hamam, Yskandar; Ray, Suprakas Sinha
    Supercapacitors are used to store and release electrical charges like batteries and conventional capacitors. Unlike conventional capacitors, they have higher capacitance and power density, and they charge faster than batteries can. Supercapacitors are mainly classified as hybrid supercapacitors, pseudocapacitors, and electrochemical double-layer capacitors. To predict the application behaviour and optimization of supercapacitors, artificial intelligence, specifically machine language is utilized more recently. Models based on artificial intelligence are less complicated and maybe accurate enough. This paper identifies machine language models that have been employed to predict the supercapacitors’ performance.
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    Application of DFT calculations in designing polymer-based drug delivery systems: An overview.
    (MDPI, 2022-09-19) Adekoya, Gbolahan Joseph.; Adekoya, Oluwasegun Chijioke.; Sadiku, Rotimi Emmanuel.; Hamam, Yskandar.; Ray, Suprakas Sinha.
    Drug delivery systems transfer medications to target locations throughout the body. These systems are often made up of biodegradable and bioabsorbable polymers acting as delivery components. The introduction of density functional theory (DFT) has tremendously aided the application of computational material science in the design and development of drug delivery materials. The use of DFT and other computational approaches avoids time-consuming empirical processes. Therefore, this review explored how the DFT computation may be utilized to explain some of the features of polymer-based drug delivery systems. First, we went through the key aspects of DFT and provided some context. Then we looked at the essential characteristics of a polymer-based drug delivery system that DFT simulations could predict. We observed that the Gaussian software had been extensively employed by researchers, particularly with the B3LYP functional and 6-31G(d, p) basic sets for polymer-based drug delivery systems. However, to give researchers a choice of basis set for modelling complicated organic systems, such as polymer–drug complexes, we then offered possible resources and presented the future trend.
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    Quantum mechanical study of the dielectric response of V2C-ZnO/PPy ternary nanocomposite for energy storage application.
    (Springer, 2023-04-19) Ezika, Anthony Chidi.; Sadiku, Emmanuel Rotimi.; Adekoya, Gbolahan Joseph.; Ray, Suprakas Sinha.; Hamam, Yskandar.
    With the proliferation of electronic gadgets and the internet of things comes a great need for lightweight, affordable, sustainable, and long-lasting power devices to combat the depletion of fossil fuel energy and the pollution produced by chemical energy storage. The use of high-energy-density polymer/ceramic composites is generating more curiosity for future technologies, and they require a high dielectric constant and breakdown strength. Electric percolation and Interface polarization are responsible for the high dielectric constant. To create composite dielectrics, high-conductivity ceramic particles are combined with polymers to improve the dielectric constant. In this work, ternary nanocomposites with better dielectric characteristics are created using a nanohybrid filler of V2C Mxene-ZnO in a polypyrrole (PPy) matrix. Then, the bonding and the uneven charge distribution in the ceramic/ceramic contact area are investigated using quantum mechanical calculations. This non-uniform distribution of charges is intended to improve the ceramic/ceramic interface’s dipole polarization (dielectric response). The interfacial chemical bond formation can also improve the hybrid filler’s stability in terms of structure and, consequently, of the composite films. To comprehend the electron-transfer process, the density of state and electron localization function of the ceramic hybrid fillers are also studied. The polymer nanocomposite is suggested to provide a suitable dielectric response for energy storage applications.