4.7 Article

Data-driven machine learning approach for predicting the capacitance of graphene-based supercapacitor electrodes

Related references

Note: Only part of the references are listed.
Article Chemistry, Physical

High-performance solid-state supercapacitor based on Ni-Co layered double hydroxide@Co3O4 nanocubes and spongy graphene electrodes

Ahmed G. El-Deen et al.

Summary: Researchers have successfully developed a new type of supercapacitor electrode material with a three-dimensional layered structure to improve energy density and cycle stability. By constructing this material, an asymmetric supercapacitor device with excellent rate capability and cycle stability has been manufactured.

APPLIED SURFACE SCIENCE (2022)

Article Engineering, Environmental

Unveiling a binary metal selenide composite of CuSe polyhedrons/CoSe2 nanorods decorated graphene oxide as an active electrode material for high-performance hybrid supercapacitors

K. Karuppasamy et al.

Summary: With the continuous growth of the electric vehicle market, supercapacitors face the challenge of functioning in harsh ecological conditions. To improve their commercial applicability, new active electrode materials with compatible nanostructures and adjustable chemical properties have been developed. A new type of hybrid electrode material, CCS@GO, has shown excellent electrochemical properties in high-performance asymmetric supercapacitors, with high specific capacitance, energy density, power density, and long-term durability.

CHEMICAL ENGINEERING JOURNAL (2022)

Article Chemistry, Physical

Synergetic effect of N/O functional groups and microstructures of activated carbon on supercapacitor performance by machine learning

Mohammad Rahimi et al.

Summary: This study investigates the influence of microstructural features, N/O configurations, and operational parameters on the capacitance performance of activated carbon electrodes through an artificial neural network. It provides theoretical support for the fabrication of N/O co-doped porous carbon electrodes with high specific capacitance.

JOURNAL OF POWER SOURCES (2022)

Article Thermodynamics

Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine

Dezhi Li et al.

Summary: With the advancement of renewable energy industries, the demand for energy storage systems, particularly supercapacitors, has increased significantly. In this study, a forecasting model based on extreme learning machine (ELM) and heuristic Kalman filter (HKF) algorithm was proposed to predict the capacity of supercapacitors. The results showed that the proposed HKF-ELM model outperformed other data-driven models commonly used in supercapacitor life forecasting.

ENERGY (2022)

Article Chemistry, Analytical

An emerging machine learning strategy for the assisted-design of high-performance supercapacitor materials by mining the relationship between capacitance and structural features of porous carbon

Peng Liu et al.

Summary: The research team used machine learning to explore the relationship between the structural features and capacitance of porous carbon materials, providing a new approach for the assisted design of high-performance supercapacitor materials. The XGBoost model demonstrated the best predictive performance among all models, and the developed models' accurate predictive ability could significantly reduce experimental workload, with Smicro/SSA, SSA, and PS contributing the most to capacitive performance.

JOURNAL OF ELECTROANALYTICAL CHEMISTRY (2021)

Review Multidisciplinary Sciences

Machine learning toward advanced energy storage devices and systems

Tianhan Gao et al.

Summary: This paper reviews recent advances in machine learning technologies for commonly used energy storage devices and systems, discussing new concepts, approaches, and applications in this emerging area.

ISCIENCE (2021)

Article Energy & Fuels

Lignin-derived carbon as a high efficient active material for enhancing pseudocapacitance performance of p-type conductive polymer

A. Ehsani et al.

Summary: The research focused on the synthesis of lignin derived carbon (LDC) and its effects on the supercapacitive properties of the POAP/LDC composite. By injecting poly ortho aminophenol (POAP) into the channels of LDC, the volumetric capacitance was significantly increased and a synergistic effect was achieved, leading to a specific capacitance of 485 F/g at 1.0 A/g current density and a retention rate of 86% after 3000 cycles.

JOURNAL OF ENERGY STORAGE (2021)

Review Chemistry, Multidisciplinary

Water-in-Salt Electrolytes for Supercapacitors: A Review

Xue Tian et al.

Summary: Water-in-salt (WIS) electrolytes show great potential for application in supercapacitors due to their wide electrochemical stability window and other advantages, but also face challenges. This Review discusses the working mechanisms, reasons for the wide stability window, improvement strategies, and applications of WIS electrolytes in various types of supercapacitors.

CHEMSUSCHEM (2021)

Article Chemistry, Physical

In situ construction of hierarchical polyaniline/SnS2@carbon nanotubes on carbon fibers for high-performance supercapacitors

Zhe Zhang et al.

Summary: This study utilized straight carbon nanotubes as nanoscale conductive skeletons on carbon fibers to support PANI/SnS2. The nanoflower-like features of SnS2 significantly increased specific capacitance and specific surface area, with PANI nanolayers on SnS2 petals enhancing secondary specific capacitance and inhibiting volume expansion of SnS2. The resulting hybrids exhibited high specific capacitance, high surface area, and excellent cycling stability.

JOURNAL OF COLLOID AND INTERFACE SCIENCE (2021)

Article Energy & Fuels

Highly efficient asymmetric supercapacitor-based on Ni-Co oxides intercalated graphene as positive and Fe2O3 doped graphene as negative electrodes

Mohamed A. Nassar et al.

Summary: The Co3O4/NiO/rGO ternary nanocomposite was successfully fabricated using a hydrothermal method, showing good capacitance value, cycling stability, and low equivalent series resistance. The assembled ASC with Co3O4/NiO/rGO electrode as positive electrode and Fe2O3/rGO binary composite as negative electrode achieved high energy density, high-power density, and long life-time, opening new doors for promising green, economic, and efficient material-based supercapacitors.

JOURNAL OF ENERGY STORAGE (2021)

Article Chemistry, Multidisciplinary

Applied Machine Learning for Developing Next-Generation Functional Materials

Filip Dinic et al.

Summary: Machine learning is a versatile technique that rapidly generates insights from multidimensional data, with applications in material discovery to address global challenges. The availability of large datasets in recent years has enabled the development of various applications, but also poses challenges for researchers.

ADVANCED FUNCTIONAL MATERIALS (2021)

Article Chemistry, Physical

Anchoring ternary NiCoMn-S ultrathin nanosheets on porous ZnCo2O4 nanowires to form core-shell composites for high-performance asymmetric supercapacitor

Hongbo Wang et al.

Summary: Successful synthesis of novel multi-component metal composites with a unique structure effectively improves the electrochemical performance of supercapacitors. The optimized ZnCo2O4@N1C2M1S-4 sample shows high energy density and stability, promising broad prospects in the field of energy storage.

JOURNAL OF ALLOYS AND COMPOUNDS (2021)

Article Energy & Fuels

Cerium based metal organic framework derived composite with reduced graphene oxide as efficient supercapacitor electrode

Usman Ali Khan et al.

Summary: The synthesized CeO2/rGO/CeS2 nanocomposite exhibited high specific capacitance, specific energy, specific power, and exceptional cyclic stability in a 3M KOH electrolyte, making it a promising electrode material for supercapacitor applications.

JOURNAL OF ENERGY STORAGE (2021)

Review Energy & Fuels

A review on selection criteria of aqueous electrolytes performance evaluation for advanced asymmetric supercapacitors

Muhammad Sajjad et al.

Summary: Aqueous asymmetric supercapacitors (AASCs) are considered a promising energy storage system due to their low cost, high energy and power densities, and excellent cyclic stability. However, the short potential window of aqueous electrolytes poses challenges. This review article discusses recent developments in aqueous electrolyte research, the impact of electrolyte properties on supercapacitor performance, and techniques for improving electrode performance.

JOURNAL OF ENERGY STORAGE (2021)

Article Energy & Fuels

Energy storage sizing in plug-in Electric Vehicles: Driving cycle uncertainty effect analysis and machine learning based sizing framework

Sakshi Bansal et al.

Summary: The study investigates the impact of driving cycle uncertainties on the optimal sizing of Energy Storage Systems in Electric Vehicles, proposing a machine-learning based framework for data-driven approach to ESS sizing.

JOURNAL OF ENERGY STORAGE (2021)

Article Chemistry, Multidisciplinary

Insights into the estimation of capacitance for carbon-based supercapacitors

Majedeh Gheytanzadeh et al.

Summary: This study analyzed experimental data from over 300 published papers using support vector machines and grey wolf optimization algorithm to explore the correlation between carbon-based structural features and EDLC performance, finding that specific surface area has the greatest impact on capacitance. The proposed SVM-GWO model demonstrated higher accuracy compared to other machine learning models in approximating EDLC capacitance.

RSC ADVANCES (2021)

Review Chemistry, Multidisciplinary

A Design-to-Device Pipeline for Data-Driven Materials Discovery

Jacqueline M. Cole

ACCOUNTS OF CHEMICAL RESEARCH (2020)

Review Chemistry, Analytical

Role of aqueous electrolytes on the performance of electrochemical energy storage device

Muhammad Zahir Iqbal et al.

JOURNAL OF ELECTROANALYTICAL CHEMISTRY (2020)

Review Chemistry, Physical

A Critical Review of Machine Learning of Energy Materials

Chi Chen et al.

ADVANCED ENERGY MATERIALS (2020)

Article Chemistry, Physical

Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices

Anthony Yu-Tung Wang et al.

CHEMISTRY OF MATERIALS (2020)

Review Chemistry, Physical

Artificial intelligence and machine learning for targeted energy storage solutions

Dean H. Barrett et al.

CURRENT OPINION IN ELECTROCHEMISTRY (2020)

Article Chemistry, Physical

Data-Driven Approach to Understanding the In-Operando Performance of Heteroatom-Doped Carbon Electrodes

Musen Zhou et al.

ACS APPLIED ENERGY MATERIALS (2020)

Article Engineering, Electrical & Electronic

A high-performance supercapacitor based on cerium molybdate nanoparticles anchored on N, P co-doped reduced graphene oxide nanocomposite as the electrode

Abdollah Yari et al.

JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS (2020)

Review Energy & Fuels

Review on reliability of supercapacitors in energy storage applications

Shuai Liu et al.

APPLIED ENERGY (2020)

Article Computer Science, Theory & Methods

Survey on categorical data for neural networks

John T. Hancock et al.

JOURNAL OF BIG DATA (2020)

Article Chemistry, Multidisciplinary

Robust, Environmentally Benign Synthesis of Nanoporous Graphene Sheets from Biowaste for Ultrafast Supercapacitor Application

Katchala Nanaji et al.

ACS SUSTAINABLE CHEMISTRY & ENGINEERING (2019)

Review Chemistry, Multidisciplinary

Electrolyte selection for supercapacitive devices: a critical review

Bhupender Pal et al.

NANOSCALE ADVANCES (2019)

Review Energy & Fuels

Review of supercapacitors: Materials and devices

Poonam et al.

JOURNAL OF ENERGY STORAGE (2019)

Article Chemistry, Multidisciplinary

Predicting the capacitance of carbon-based electric double layer capacitors by machine learning

Haiping Su et al.

NANOSCALE ADVANCES (2019)

Article Computer Science, Information Systems

Supercapacitors: Electrical Characteristics, Modeling, Applications, and Future Trends

Alberto Berrueta et al.

IEEE ACCESS (2019)

Article Electrochemistry

Synthesis of Ni3V2O8@graphene oxide nanocomposite as an efficient electrode material for supercapacitor applications

K. Thiagarajan et al.

JOURNAL OF SOLID STATE ELECTROCHEMISTRY (2018)

Review Chemistry, Applied

Graphene-based materials for flexible energy storage devices

Kena Chen et al.

JOURNAL OF ENERGY CHEMISTRY (2018)

Article Chemistry, Physical

Machine learning modeling of superconducting critical temperature

Valentin Stanev et al.

NPJ COMPUTATIONAL MATERIALS (2018)

Article Materials Science, Multidisciplinary

Artificial neural network enabled capacitance prediction for carbon-based supercapacitors

Shan Zhu et al.

MATERIALS LETTERS (2018)

Review Multidisciplinary Sciences

Machine learning for molecular and materials science

Keith T. Butler et al.

NATURE (2018)

Review Energy & Fuels

A review on the heterostructure nanomaterials for supercapacitor application

Sanjit Saha et al.

JOURNAL OF ENERGY STORAGE (2018)

Review Electrochemistry

A Brief Review on Electrode Materials for Supercapacitor

Zaharaddeen S. Iro et al.

INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE (2016)

Article Electrochemistry

Lignin-derived hierarchical porous carbon for high-performance supercapacitors

Zhen-zhen Chang et al.

JOURNAL OF SOLID STATE ELECTROCHEMISTRY (2016)

Review Nanoscience & Nanotechnology

Graphene for batteries, supercapacitors and beyond

Maher F. El-Kady et al.

NATURE REVIEWS MATERIALS (2016)

Article Nanoscience & Nanotechnology

Covalently Coupled Ultrafine H-TiO2 Nanocrystals/Nitrogen-Doped Graphene Hybrid Materials for High-Performance Supercapacitor

Shuhua Yang et al.

ACS APPLIED MATERIALS & INTERFACES (2015)

Article Nanoscience & Nanotechnology

Characterization of MoS2-Graphene Composites for High-Performance Coin Cell Supercapacitors

Mark A. Bissett et al.

ACS APPLIED MATERIALS & INTERFACES (2015)

Article Nanoscience & Nanotechnology

Nitrogen-Doped Graphene Aerogels as Efficient Supercapacitor Electrodes and Gas Adsorbents

Zhu-Yin Sui et al.

ACS APPLIED MATERIALS & INTERFACES (2015)

Review Chemistry, Physical

Graphene in Supercapacitor Applications

Wen Yang et al.

CURRENT OPINION IN COLLOID & INTERFACE SCIENCE (2015)

Article Engineering, Electrical & Electronic

Modeling and adaptive control for supercapacitor in automotive applications based on artificial neural networks

Akram Eddahech et al.

ELECTRIC POWER SYSTEMS RESEARCH (2014)

Review Chemistry, Multidisciplinary

A review of electrode materials for electrochemical supercapacitors

Guoping Wang et al.

CHEMICAL SOCIETY REVIEWS (2012)

Review Chemistry, Multidisciplinary

Carbon-Based Electrochemical Capacitors

Arunabha Ghosh et al.

CHEMSUSCHEM (2012)

Review Chemistry, Multidisciplinary

Best practice methods for determining an electrode material's performance for ultracapacitors

Meryl D. Stoller et al.

ENERGY & ENVIRONMENTAL SCIENCE (2010)

Article Chemistry, Physical

Supercapacitor Devices Based on Graphene Materials

Yan Wang et al.

JOURNAL OF PHYSICAL CHEMISTRY C (2009)

Article Chemistry, Physical

Practical and theoretical limits for electrochemical double-layer capacitors

Andrzej Lewandowski et al.

JOURNAL OF POWER SOURCES (2007)

Article Automation & Control Systems

Machine-learning paradigms for selecting ecologically significant input variables

Nitin Muttil et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2007)

Article Computer Science, Artificial Intelligence

A survey of outlier detection methodologies

VJ Hodge et al.

ARTIFICIAL INTELLIGENCE REVIEW (2004)

Article Chemistry, Physical

Charge storage mechanism of MnO2 electrode used in aqueous electrochemical capacitor

M Toupin et al.

CHEMISTRY OF MATERIALS (2004)

Review Chemistry, Physical

Carbon materials for the electrochemical storage of energy in capacitors

E Frackowiak et al.

CARBON (2001)

Article Electrochemistry

Principles and applications of electrochemical capacitors

R Kotz et al.

ELECTROCHIMICA ACTA (2000)