In this study, a general and effective phosphorization strategy is demonstrated to enhance the super capacitor performance of Ni, Cu, and Mn transition metals. The composites such as Ni₃(PO₄)₂, Cu₃(PO₄)₂ and Mn₃(PO₄)₂ were achieved by employing hydrothermal method mixing with ethylene glycol. These composite nanostructures were characterized by standard sophisticated techniques such as XRD, RAMAN, FTIR, UV, PL and SEM studies. X-ray diffraction (XRD) studies revealed the monoclinic crystallographic structure of the materials. The optical and vibrational properties of the product are characterized by photoluminescence and FTIR studies. These prepared materials have shown desired electrochemical stability. The above characterization indicates the functional groups and materials nature. The electrochemical properties of synthesized phosphate materials are analyzed by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS) and galvanostatic charging and discharging studies (GCD). The Cu₃(PO₄)₂ electrode showed a remarkable specific capacitance of 232.025 F g at a scan rate of 20 mV/s, which is expected to have a promising electrode for super capacitor applications. The GCD study of synthesized Cu₃(PO₄)₂ nanostructure has also been tested for 1000 cycles at 10 A/g current density to evaluate the cyclic stability of the electrode and retains 94% of initial specific capacitance.
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http://dx.doi.org/10.1166/jnn.2020.17448 | DOI Listing |
Nat Commun
January 2025
Key Laboratory of Brain like Neuromorphic Devices and Systems of Hebei Province, College of Physics Science and Technology, Hebei University, Baoding, Hebei, China.
Neuromorphic computing holds immense promise for developing highly efficient computational approaches. Memristor-based artificial neurons, known for due to their straightforward structure, high energy efficiency, and superior scalability, which enable them to successfully mimic biological neurons with electrical devices. However, the reliability of memristors has always been a major obstacle in neuromorphic computing.
View Article and Find Full Text PDFSmall
January 2025
Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Int J Mol Sci
November 2024
Condensed Matter Department, National Institute for Research and Development in Electrochemistry and Condensed Matter, 300224 Timisoara, Romania.
Due to population growth and global technological development, energy consumption has increased exponentially. The global energy crisis opens up many hotly debated topics regarding energy generation and consumption. Not only is energy production in short supply due to limited energy resources but efficient and sustainable storage has become a very important goal.
View Article and Find Full Text PDFPLoS One
November 2024
Dalian Naval Academy, Zhongshan District, Dalian City, Liaoning Province, China.
To ensure the continuous high-efficiency operation of fuel cell systems, it is essential to perform real-time estimation of the maximum efficiency point and maximum power point for multi-stack fuel cell systems. The region between these two power points is commonly referred to as the "high-efficiency operating region." Initially, a transformation of the general expression for hydrogen consumption in multi-stack fuel cell systems is conducted to obtain an algebraic expression for the efficiency curve of multi-stack fuel cells.
View Article and Find Full Text PDFSci Rep
November 2024
Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.
This paper proposes a new energy management system to combine Fuel Cells (FC) and photovoltaic (PV) panels as primary power sources. Also, battery and Super Capacitor (SC) banks are considered as secondary energy systems. The high power density and the fast dynamics of SCs combined with the high energy density and medium dynamics of batteries would be an ideal combination for FC vehicles.
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