Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Energy Stored in a Capacitor: Problem Solving01:26

Energy Stored in a Capacitor: Problem Solving

1.1K
In 1749, Benjamin Franklin coined the word battery for a series of capacitors connected to store energy. Capacitors store electric potential energy that can be released over a short time. This property means capacitors have a wide range of applications.
Capacitor-discharge ignition is a type of ignition system commonly found in small engines where the energy released from a capacitor ignites an induction coil that, in turn, fires the spark plug.
To calculate the energy stored in a capacitor of...
1.1K
Standard Electrode Potentials03:02

Standard Electrode Potentials

43.6K
On comparing the reactivity of silver and lead, it is observed that the two ionic species, Ag+ (aq) and Pb2+ (aq), show a difference in their redox reactivity towards copper: the silver ion undergoes spontaneous reduction, while the lead ion does not. This relative redox activity can be easily quantified in electrochemical cells by a property called cell potential. This property is commonly known as cell voltage in electrochemistry, and it is a measure of the energy which accompanies the charge...
43.6K
Energy Stored in Capacitors01:10

Energy Stored in Capacitors

466
A parallel plate capacitor, when connected to a battery, develops a potential difference across its plates. This potential difference is key to the operation of the capacitor, as it determines how much electrical energy the capacitor can store.
By integrating the equation that relates voltage and current in a capacitor, one can derive an equation for the voltage across the capacitor at any given time. This equation is crucial in understanding and predicting the behavior of capacitors in...
466
Batteries and Fuel Cells03:12

Batteries and Fuel Cells

27.2K
A battery is a galvanic cell that is used as a source of electrical power for specific applications. Modern batteries exist in a multitude of forms to accommodate various applications, from tiny button batteries such as those that power wristwatches to the very large batteries used to supply backup energy to municipal power grids. Some batteries are designed for single-use applications and cannot be recharged (primary cells), while others are based on conveniently reversible cell reactions that...
27.2K
MOS Capacitor01:25

MOS Capacitor

741
A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
741
  1. Home
  3. Research Domains
  5. Engineering
  7. Chemical Engineering
  9. Electrochemical Energy Storage And Conversion
  11. Machine Learning-guided Prediction Of Energy Storage Performance Of Carbon Cathode Materials For Zinc-ion Hybrid Capacitors

Machine learning-guided prediction of energy storage performance of carbon cathode materials for zinc-ion hybrid capacitors

Yaoyu Chen1, Hao Wang1, Chenglong Wang1

  • 1Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China; Institute of Magnetic Resonance and Molecular Imaging in Medicine, East China Normal University, Shanghai 200241, China.

Journal of Colloid and Interface Science
|June 13, 2025

Related Experiment Videos

Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System
12:00

Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System

Published on: January 7, 2022

12.1K
Construction and Testing of Coin Cells of Lithium Ion Batteries
07:23

Construction and Testing of Coin Cells of Lithium Ion Batteries

Published on: August 2, 2012

31.5K
Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques
10:03

Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques

Published on: November 11, 2013

25.4K

View abstract on PubMed

Summary
This summary is machine-generated.

Machine learning accurately predicts specific capacitance for aqueous zinc-ion hybrid capacitors (ZIHCs). Key carbon properties like pore volume and nitrogen content were identified, guiding the design of high-performance ZIHC cathodes.

Area of Science:

  • Materials Science
  • Electrochemistry
  • Computational Chemistry

Background:

  • Aqueous zinc-ion hybrid capacitors (ZIHCs) offer sustainable energy storage.
  • Developing high-performance carbon cathodes is crucial for ZIHC energy density.
  • Machine learning (ML) and deep learning (DL) show potential for accelerating material discovery.

Purpose of the Study:

  • To investigate ML and DL models for predicting specific capacitance (Cs) in carbon cathode-based ZIHCs.
  • To identify critical carbon material properties influencing ZIHC performance.
  • To validate ML predictions through experimental synthesis and testing.

Main Methods:

  • Evaluated six ML/DL models for Cs prediction.
  • Utilized LightGBM, achieving R² of 0.986 and RMSE of 4.88 mAh g⁻¹.
Keywords:
Carbon cathodeMachine learningSpecific capacityZinc-ion hybrid capacitor

Related Experiment Videos

Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System
12:00

Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System

Published on: January 7, 2022

12.1K
Construction and Testing of Coin Cells of Lithium Ion Batteries
07:23

Construction and Testing of Coin Cells of Lithium Ion Batteries

Published on: August 2, 2012

31.5K
Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques
10:03

Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques

Published on: November 11, 2013

25.4K
  • Employed SHAP and PDP for feature importance analysis.
  • Synthesized biomass and MOF-derived carbons for experimental validation.

    • Main Results:

    • LightGBM exhibited superior prediction accuracy for ZIHC specific capacitance.
    • Pore volume, nitrogen content, and specific surface area were identified as key factors influencing Cs.
    • Synthesized carbon materials confirmed the reliability of ML predictions.

    Conclusions:

    • ML models, particularly LightGBM, can effectively predict ZIHC performance.
    • This approach provides valuable insights for designing optimized carbon cathodes.
    • The study offers a pathway for accelerating the development of advanced ZIHCs.