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

Catalysis02:50

Catalysis

The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.
Heterogeneous Catalysis01:22

Heterogeneous Catalysis

Heterogeneous catalysis involves a catalyst in a different phase from the reactants. It is a process where the catalyst and the reactants are in distinct phases, typically solid and gas or liquid.Most heterogeneous catalysts are metals, metal oxides, or acids. The list includes transition metals like iron (Fe), cobalt (Co), nickel (Ni), palladium (Pd), platinum (Pt), chromium (Cr), manganese (Mn), tungsten (W), silver (Ag), and copper (Cu). These metals possess partially vacant d orbitals that...
Inorganic Nitrogen Assimilation01:22

Inorganic Nitrogen Assimilation

Nitrogen is an essential element in biological systems, forming a crucial component of proteins, nucleic acids, and other cellular constituents. Many bacteria and archaea acquire nitrogen in the form of nitrate (NO₃⁻) or ammonia (NH₃), which are then assimilated into biomolecules through specific enzymatic pathways.Assimilatory Nitrate ReductionWhen nitrate enters the cell, it undergoes a two-step reduction process known as assimilatory nitrate reduction. Initially, the enzyme nitrate reductase...
Electrophilic Aromatic Substitution: Nitration of Benzene01:20

Electrophilic Aromatic Substitution: Nitration of Benzene

The nitration of benzene is an example of an electrophilic aromatic substitution reaction. It involves the formation of a very powerful electrophile, the nitronium ion, which is linear in shape. The reaction occurs through the interaction of two strong acids, sulfuric and nitric acid.
Reduction of Alkenes: Asymmetric Catalytic Hydrogenation02:17

Reduction of Alkenes: Asymmetric Catalytic Hydrogenation

Catalytic hydrogenation of alkenes is a transition-metal catalyzed reduction of the double bond using molecular hydrogen to give alkanes. The mode of hydrogen addition follows syn stereochemistry.
The metal catalyst used can be either heterogeneous or homogeneous. When hydrogenation of an alkene generates a chiral center, a pair of enantiomeric products is expected to form. However, an enantiomeric excess of one of the products can be facilitated using an enantioselective reaction or an...
1° Amines to Diazonium or Aryldiazonium Salts: Diazotization with NaNO2 Mechanism01:37

1° Amines to Diazonium or Aryldiazonium Salts: Diazotization with NaNO2 Mechanism

Nitrous acid is a relatively weak and unstable acid prepared in situ by the reaction of sodium nitrite and cold, dilute hydrochloric acid. In an acidic solution, the nitrous acid undergoes protonation when it loses water to form a nitrosonium ion—an electrophile. Nitrous acid reacts with primary amines to give diazonium salts. The reaction is called diazotization of primary amines.

You might also read

Related Articles

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

Sort by
Same author

Nitrogen doping boosted aqueous Zn-CO<sub>2</sub> batteries producing methane and electricity simultaneously.

Chemical communications (Cambridge, England)·2026
Same author

Bernoulli's principle-mediated Cl<sub>2</sub> electrosynthesis.

Nature communications·2026
Same author

Stable acidic H<sub>2</sub>O<sub>2</sub> electrosynthesis <i>via in situ</i> Ti-N bridging sites.

Chemical communications (Cambridge, England)·2026
Same author

Electronic structure blurring-mediated solid-state H<sub>2</sub>O<sub>2</sub> electrosynthesis with high productivity.

Nature communications·2025
Same author

Comparative efficacy of acupressure and magnetic therapy vs. diclofenac sodium for pain management in upper urinary tract calculi.

The American journal of emergency medicine·2025
Same author

Operando-electrified solvay process.

Nature communications·2025
Same journal

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

Nanoscale·2026
Same journal

Electrical regulation of multilayer graphene and graphene nanoscrolls using deionized water as a gate dielectric.

Nanoscale·2026
Same journal

High-efficiency directional thermoacoustic sound sources based on a local cold source.

Nanoscale·2026
Same journal

Dynamic process of evaporation of Ni-Ce nitrate precursor droplet in flame-assisted spray pyrolysis by molecular dynamics simulation.

Nanoscale·2026
Same journal

Molecularly programmed hierarchical self-assembly of bottlebrush polymers into core-shell nanospheres with intrinsic charge-trapping for high performance triboelectric nanogenerators.

Nanoscale·2026
Same journal

Correction: Solvent-association regulated electrolyte enables high-rate lithium metal batteries at low-temperature.

Nanoscale·2026
See all related articles
  1. Home
  3. Machine Learning Accelerated Nitrogen Electrofixation On Dual-atom Catalysts.
  1. Home
  3. Machine Learning Accelerated Nitrogen Electrofixation On Dual-atom Catalysts.

Related Experiment Video

Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction
10:57

Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction

Published on: April 10, 2018

Machine learning accelerated nitrogen electrofixation on dual-atom catalysts.

Changfa Li1, Minmin Yan1, Pengchen Bao1

  • 1Key Laboratory for Soft Chemistry and Functional Materials, School of Chemistry and Chemical Engineering, School of Energy and Power Engineering, Nanjing University of Science and Technology, Ministry of Education, Nanjing, 210094, China. sheng.chen@njust.edu.cn.

Nanoscale
|May 18, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Machine learning accelerates the discovery of dual-atom catalysts for nitrogen fixation. A novel CrNi/MoSe2 catalyst shows excellent performance, offering a new framework for designing efficient energy conversion catalysts.

More Related Videos

Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production
08:40

Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production

Published on: December 6, 2021

Catalytic Reactions at Amine-Stabilized and Ligand-Free Platinum Nanoparticles Supported on Titania During Hydrogenation of Alkenes and Aldehydes
12:08

Catalytic Reactions at Amine-Stabilized and Ligand-Free Platinum Nanoparticles Supported on Titania During Hydrogenation of Alkenes and Aldehydes

Published on: June 24, 2022

Related Experiment Videos

Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction
10:57

Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction

Published on: April 10, 2018

Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production
08:40

Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production

Published on: December 6, 2021

Catalytic Reactions at Amine-Stabilized and Ligand-Free Platinum Nanoparticles Supported on Titania During Hydrogenation of Alkenes and Aldehydes
12:08

Catalytic Reactions at Amine-Stabilized and Ligand-Free Platinum Nanoparticles Supported on Titania During Hydrogenation of Alkenes and Aldehydes

Published on: June 24, 2022

Area of Science:

  • Materials Science
  • Catalysis
  • Computational Chemistry
  • Machine Learning

Background:

  • Atomically dispersed catalysts, including single-atom catalysts, offer high atomic utilization and tunable electronic properties.
  • Dual-atom catalysts, created by introducing a second single-atom site, present new opportunities for enhanced catalytic applications.
  • Optimizing dual-atom catalysts is complex due to numerous influencing factors like elemental composition and atomic arrangement.

Purpose of the Study:

  • To employ machine learning (ML) to accelerate the screening and design of dual-atom catalysts.
  • To identify novel dual-atom catalyst systems for efficient electrochemical nitrogen reduction reactions (NRR).
  • To establish a robust framework for exploring new catalysts in energy conversion systems.

Main Methods:

  • Machine learning (ML) models were utilized for high-throughput prediction of potential dual-atom catalyst candidates.
  • Density Functional Theory (DFT) computations were performed to elucidate the reaction mechanisms of promising catalysts.
  • Experimental synthesis and electrochemical testing were conducted to validate the predicted catalyst performance.

Main Results:

  • ML-driven screening identified a CrNi/MoSe2 dual-atom catalyst with a predicted ultralow limiting potential of -0.45 eV for nitrogen fixation.
  • DFT calculations revealed the underlying catalytic mechanisms contributing to the enhanced performance.
  • Experimental verification confirmed that the synthesized CrNi/MoSe2 catalyst exhibits high efficiency in electrochemical nitrogen reduction reactions.

Conclusions:

  • The study demonstrates the efficacy of ML in accelerating the discovery of advanced dual-atom catalysts.
  • The identified CrNi/MoSe2 catalyst shows significant potential for efficient electrochemical nitrogen reduction.
  • This work provides a scalable framework for designing next-generation catalysts for energy conversion applications.