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

Group Design02:01

Group Design

10.7K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.7K
Acid Strength and Molecular Structure03:05

Acid Strength and Molecular Structure

33.2K
Binary Acids and Bases
In the absence of any leveling effect, the acid strength of binary compounds of hydrogen with nonmetals (A) increases as the H-A bond strength decreases down a group in the periodic table. For group 17, the order of increasing acidity is HF < HCl < HBr < HI. Likewise, for group 16, the order of increasing acid strength is H2O < H2S < H2Se < H2Te. Across a row in the periodic table, the acid strength of binary hydrogen compounds increases with increasing...
33.2K
Mixtures of Acids03:27

Mixtures of Acids

21.9K
The pH of a solution containing an acid can be determined using its acid dissociation constant and its initial concentration. If a solution contains two different acids, then its pH can be determined using one of several methods depending upon the relative strength of the acids and their dissociation constants.
A Mixture of a Strong Acid and a Weak Acid
In a mixture of a strong acid and a weak acid, the strong acid dissociates completely and becomes a source of almost all the hydronium ions...
21.9K
Factorial Design02:01

Factorial Design

14.1K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
14.1K
Ions as Acids and Bases02:54

Ions as Acids and Bases

26.6K
Salts with Acidic Ions
Salts are ionic compounds composed of cations and anions, either of which may be capable of undergoing an acid or base ionization reaction with water. Aqueous salt solutions, therefore, may be acidic, basic, or neutral, depending on the relative acid-base strengths of the salt’s constituent ions. For example, dissolving the ammonium chloride in water results in its dissociation, as described by the equation:
26.6K
Design Example: Designing a Residential Plumbing System01:25

Design Example: Designing a Residential Plumbing System

1.1K
The design of residential plumbing systems requires carefully evaluating water demand, flow rates, and pressure dynamics to ensure both efficiency and reliability. The nature of water flow within pipes is defined by its Reynolds number, which classifies flow as either laminar (smooth) or turbulent.
1.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nanoflower-like CuCo<sub>2</sub>S<sub>4</sub> with Bimetallic Synergy as High-Performance Bifunctional Electrocatalyst for Polysulfide/Iodide Redox Flow Batteries.

Materials (Basel, Switzerland)·2026
Same author

From removal claims to engineering evidence: electrochemical treatment and selective recovery of heavy metals in wastewater.

Nanoscale·2026
Same author

Porous Si-Based Materials for Lithium-Ion Battery Anodes: Structural Design and In Situ/Operando Characterization.

Materials (Basel, Switzerland)·2026
Same author

In Situ Characterization of Anode Materials for Rechargeable Li-, Na- and K-Ion Batteries: A Review.

Materials (Basel, Switzerland)·2026
Same author

Beluga Optimization Algorithm for Near-Infrared Spectral Variable Selection of Complex Samples.

Foods (Basel, Switzerland)·2025
Same author

Single-atom catalysts toward electrocatalytic urea synthesis <i>via</i> C-N coupling reactions.

Chemical communications (Cambridge, England)·2025

Related Experiment Video

Updated: Feb 12, 2026

Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold
05:28

Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold

Published on: February 10, 2023

2.2K

Electrocatalysis Informatics Driven Design of Formic Acid-Producing Alloy Catalysts for CO2 Electroreduction.

Qianzhuo Lei1, Yihan Zhang2, Pengcheng Liu2

  • 1State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin, China.

Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|February 10, 2026
PubMed
Summary

Machine learning accelerates the discovery of electrocatalysts for CO2 reduction. This study identified promising BiSb-based alloys for efficient CO2 conversion into C1 molecules.

Keywords:
CO2 electroreduction to formic acidalloy catalysthigh‐throughput predictionhistorical literature datamachine learning

More Related Videos

Tuning the Acidity of Pt/ CNTs Catalysts for Hydrodeoxygenation of Diphenyl Ether
09:21

Tuning the Acidity of Pt/ CNTs Catalysts for Hydrodeoxygenation of Diphenyl Ether

Published on: August 17, 2019

9.5K
Designing Silk-silk Protein Alloy Materials for Biomedical Applications
11:14

Designing Silk-silk Protein Alloy Materials for Biomedical Applications

Published on: August 13, 2014

18.9K

Related Experiment Videos

Last Updated: Feb 12, 2026

Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold
05:28

Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold

Published on: February 10, 2023

2.2K
Tuning the Acidity of Pt/ CNTs Catalysts for Hydrodeoxygenation of Diphenyl Ether
09:21

Tuning the Acidity of Pt/ CNTs Catalysts for Hydrodeoxygenation of Diphenyl Ether

Published on: August 17, 2019

9.5K
Designing Silk-silk Protein Alloy Materials for Biomedical Applications
11:14

Designing Silk-silk Protein Alloy Materials for Biomedical Applications

Published on: August 13, 2014

18.9K

Area of Science:

  • Materials Science
  • Catalysis
  • Computational Chemistry

Background:

  • Electrocatalysis is crucial for energy conversion and environmental remediation.
  • Predicting efficient electrocatalysts for the CO2 reduction reaction (CO2RR) is challenging.
  • Machine learning (ML) offers a powerful approach for accelerating materials discovery.

Purpose of the Study:

  • To establish a comprehensive electrocatalytic database for CO2RR.
  • To decode structure-property relationships for CO2RR catalysts using ML.
  • To identify novel, high-performance electrocatalysts for CO2RR.

Main Methods:

  • Developed a database of ~400 CO2RR catalysts.
  • Employed decision tree analysis, correlation heatmaps, and feature importance ranking.
  • Utilized Random Forest Regression for predictive modeling and sequential model-based algorithm configuration for screening.

Main Results:

  • Random Forest Regression showed superior predictive performance for CO2RR.
  • Screened 500,000+ catalyst configurations, identifying promising multinary alloys.
  • BiSb-based alloys were identified as high-potential candidates for CO2RR.

Conclusions:

  • ML-driven approach significantly enhances electrocatalyst discovery efficiency and accuracy.
  • Artificial intelligence is pivotal in materials discovery for energy and environmental applications.
  • BiSb-based alloys show great promise for CO2 reduction reactions.