Boron-doped sucrose carbons for supercapacitor electrode: artificial neural network-based modelling approach

Fallah, Amirhossein; Oladipo, Akeem Adeyemi; Gazi, Mustafa

doi:10.1007/s10854-020-04017-y

Cited by 17 publications

(15 citation statements)

References 39 publications

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“…In all the materials, the broad band observed at 3355-3449 cm À 1 corresponds to OÀ H stretching vibration owing to physically absorbed water, including surface hydroxyls, while the sharp peaks seen at ∼ 1676 cm À 1 relate to C=Y (where Y=O, N or C) stretching vibration. [1][2][3] The shoulder peaks at 3218 cm À 1 are attributable to NÀ H stretching vibration. [3] Note that these peaks are more apparent in NW and NPW than in PW.…”

Section: Electrolytesmentioning

confidence: 99%

“…GCD measurements at 1 Ag À 1 in various electrolytes validated the NPW electrode's exceptional electrochemical performance, and the results are given in Figure 5a. The presence of pseudocapacitance was established by slightly deviated triangle-like GCD curves instead of a perfectly symmetrical triangle, [2,45] as seen in acidic and neutral electrolytes. NPW showed typical EDL capacitor behaviour in 6 M KOH.…”

Section: Chemistryselectmentioning

confidence: 99%

“…There is an increasing demand for cleaner, portable, effective energy storage devices for electric vehicles, smart hand-held electronics, toys, and other portable energy-consuming gadgets as a result of the environmental degradation and energy crisis. [1][2][3][4][5] Various energy storage systems are available, however, supercapacitors have sparked worldwide interest due to their remarkable and unique qualities that are now unattainable in most batteries, such as quick charge and discharge rates, high cycle stability life, a wide operating temperature range, and superior power density. [3][4][5][6][7][8] Unfortunately, supercapacitors still have a poor energy density, making them unsuitable for use in various electronic products.…”

Section: Introductionmentioning

confidence: 99%

“…[3][4][5][6][7][8] Unfortunately, supercapacitors still have a poor energy density, making them unsuitable for use in various electronic products. Because the energy density of a supercapacitor is 0.5 × CV 2 , [2,3] the operating potential window of the electrolyte and the electrode's capacitance are important elements in increasing the energy density. The electrode materials are expected to have high electrical conductivity for electron transfer, large specific surface area for charge storage, good wettability and hierarchical porosity for electrostatic ions transport and diffusion into the pores.…”

Section: Introductionmentioning

confidence: 99%

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N and P Co‐doped Green Waste Derived Hierarchical Porous Carbon as a Supercapacitor Electrode for Energy Storage: Electrolyte Effects

2023

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N, P dual-doped watermelon peel-derived carbon (NPW) was prepared and found to exhibit a larger specific surface area of 1809 m 2 g À 1 and improved hierarchically interconnected pores than N-doped and P-doped carbons. The NPW electrode exhibits excellent electrochemical activity in a three-electrode setup with 1 M H 2 SO 4 , 6 M KOH, and 1 M Na 2 SO 4 electrolytes; with high specific capacitance (498.8, 397.6, and 378.6 F g À 1 at 1 A g À 1 , respectively) and an average capacitance retention of ∼ 96.9 % after 10,000 charge-discharge cycles at 10 A g À 1 . The NPW//NPW-based symmetric cell with 1 M H 2 SO 4 -PVA-electrolyte provided a high energy density of 71.84 Wh kg À 1 at 1 A g À 1 and a specific capacitance of 263.9 F g À 1 . In the neutral electrolyte, NPW showed a wider operating voltage window of up to 2.0 V with no discernible anodic current and delivered 97.11 Wh kg À 1 energy density.

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Section: Electrolytesmentioning

confidence: 99%

Section: Chemistryselectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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N and P Co‐doped Green Waste Derived Hierarchical Porous Carbon as a Supercapacitor Electrode for Energy Storage: Electrolyte Effects

2023

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“…Ahmed et al 34 trained ANN and RF models using the mesopore surface area, micropore surface area, and scan rate input features to predict the SPC, energy density, and power density. Fallah et al 35 developed an ANN model and used the doping percentage, pore size, surface area, voltage window, and electrolyte to predict SPC. These studies achieve remarkably low error values and are able to simulate complex relationships between input features and SPC without the need to understand the underlying physical mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Predictive Electrochemical Behavior of Lignin-Based SupercapacitorsviaMachine Learning

et al. 2021

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Plant-derived lignin-based supercapacitors have shown strong potential as light and flexible electronic devices. To design a safe, reliable, and efficient supercapacitor, it is important to predict its electrochemical performance. To date, there is no reliable theoretical model to serve the purpose. In this work, four machine learning algorithms are developed and compared to predict the specific capacitance variation for lignin supercapacitors. Specifically, linear regression (LR), support vector machine (SVM), decision tree (DT), and artificial neural network (ANN) models are analyzed. Specific capacitance variation obtained by cyclic charge−discharge tests is modeled as a function of weight percentages of material constituents (lignin, nickel tungstate nanoparticles, and polyvinylidene fluoride) and the cycle number. The accuracy of the models is ranked as LR < SVM < DT < ANN and validated further using the F-test. The superior model fit of ANN shows the highest accuracy and applicability with excellent robustness. ANN can generalize the learned specific capacitance variation to material ratios excluded in the training set. This work provides an understanding of different machine learning techniques for predicting the specific capacitance variation and retention of lignin-based supercapacitors, demonstrating the strong potential of ANN to be used as a predictive tool to aid in supercapacitor optimization.

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Potential Development of Porous Carbon Composites Generated from the Biomass for Energy Storage Applications

Saeed,

Shahzad,

Fazle Rabbee

et al. 2024

Chemistry An Asian Journal

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Creating an innovative and environmentally friendly energy storage system is of vital importance due to the growing number of environmental problems and the fast exhaustion of fossil fuels. Energy storage using porous carbon composites generated from biomass has attracted a lot of attention in the research community. This is primarily due to the environmentally friendly nature, abundant availability in nature, accessibility, affordability, and long‐term viability of macro/meso/microporous carbon sourced from a variety of biological materials. The energy density of symmetric supercapacitors is also considered, with values between 5.1 and 138.4 Wh/kg. In this review, we look at the basic structures of biomass and how they affect porous carbon synthesis. It also discusses the effects of different structured porous carbon materials on electrochemical performance and analyzes them. In recent developments, significant steps have been made across various fields including fuel cells, carbon capture, and the utilization of biomass‐derived carbonaceous nanoparticles. Notably, our study delves into the innovative energy conversion and storage potentials inherent in these materials. This comprehensive investigation seeks to lay the foundation for forthcoming energy storage research endeavors by delineating the current advancements and anticipating potential challenges in fabricating porous carbon composites sourced from biomass.

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Boron-doped sucrose carbons for supercapacitor electrode: artificial neural network-based modelling approach

Cited by 17 publications

References 39 publications

N and P Co‐doped Green Waste Derived Hierarchical Porous Carbon as a Supercapacitor Electrode for Energy Storage: Electrolyte Effects

N and P Co‐doped Green Waste Derived Hierarchical Porous Carbon as a Supercapacitor Electrode for Energy Storage: Electrolyte Effects

Data-Driven Predictive Electrochemical Behavior of Lignin-Based SupercapacitorsviaMachine Learning

Potential Development of Porous Carbon Composites Generated from the Biomass for Energy Storage Applications

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