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

Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

273
The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
273
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.6K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.6K
Internal Combustion Engine01:20

Internal Combustion Engine

1.6K
The internal combustion engine is a heat engine that uses the byproducts of combustion as the working fluid instead of using a heat transfer medium to transfer heat. The combustion is done in a way that produces high-pressure combustion products that can be expanded through a turbine or piston to create work. Internal combustion engines can again be categorized into three kinds: (1) spark ignition gasoline engines, most commonly used in automobiles, (2) compression ignition diesel engines that...
1.6K
Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes02:14

Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes

6.4K
The low reactivity in alkanes can be attributed to the non-polar nature of C–C and C–H σ bonds. Alkanes, therefore, were  initially termed as “paraffins,” derived from the Latin words: parum, meaning “too little,” and affinis, meaning “affinity.”
Alkanes undergo combustion in the presence of excess oxygen and high-temperature conditions to give carbon dioxide and water. A combustion reaction is the energy source in natural gas, liquified...
6.4K
Otto and Diesel Cycle01:27

Otto and Diesel Cycle

1.9K
An Otto engine is a four-stroke engine that uses a mixture of gasoline and air as the working fuel. The fuel is injected into the cylinder, and the piston is moved completely down so that the cylinder is at maximum volume. By moving the piston up, adiabatic compression takes place. The spark plug ignites the gasoline-air mixture, and the burning fuel adds heat to the system at a constant volume. The heated mixture expands adiabatically and gets further cooled by exhausting heat, and this cyclic...
1.9K
Batteries and Fuel Cells03:12

Batteries and Fuel Cells

27.8K
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...
27.8K

You might also read

Related Articles

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

Sort by
Same author

Oligoterpenes Oxidation: Integrating Thermal Analysis Experiments and <i>Ab Initio</i> Kinetics.

The journal of physical chemistry. A·2026
Same author

Audiologic Assessment and Management of Teprotumumab-Associated Ototoxicity: An Updated Narrative Review.

Audiology research·2026
Same author

Industrial-scale nanocrystalline Ni-Mo-MgO catalysts for hybrid reforming of waste to fuels.

Science (New York, N.Y.)·2026
Same author

Respiratory viral infection is associated with increased <i>Pseudomonas</i> abundance in the cystic fibrosis airway.

ERJ open research·2026
Same author

Self-Perceived Health Status Among Patients With and Without TBI: An All of Us Analysis.

The Journal of head trauma rehabilitation·2026
Same author

California Prescribed Fire Monitoring Program: dataset 2019-2024.

Scientific data·2026

Related Experiment Video

Updated: Aug 12, 2025

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
07:58

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

Published on: January 18, 2021

6.0K

Artificial intelligence-driven design of fuel mixtures.

Nursulu Kuzhagaliyeva1, Samuel Horváth2,3, John Williams4

  • 1Clean Combustion Research Center (CCRC), Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. nursulu.kuzhagaliyeva@kaust.edu.sa.

Communications Chemistry
|January 25, 2023
PubMed
Summary

This study introduces an artificial intelligence (AI) framework for designing high-performance liquid fuels. The AI approach optimizes fuel properties for cleaner combustion and improved engine efficiency, reducing carbon emissions.

More Related Videos

Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells
08:16

Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells

Published on: October 2, 2016

9.6K
Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
07:24

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer

Published on: February 19, 2018

10.2K

Related Experiment Videos

Last Updated: Aug 12, 2025

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
07:58

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

Published on: January 18, 2021

6.0K
Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells
08:16

Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells

Published on: October 2, 2016

9.6K
Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
07:24

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer

Published on: February 19, 2018

10.2K

Area of Science:

  • Chemical Engineering
  • Artificial Intelligence
  • Combustion Science

Background:

  • High-performance fuels are crucial for enhancing engine efficiency and reducing environmental impact.
  • Current fuel design methods face challenges in optimizing for multiple properties simultaneously.
  • The need for advanced computational tools to accelerate fuel discovery is evident.

Purpose of the Study:

  • To develop a data-driven artificial intelligence (AI) framework for designing liquid fuels with tailored properties.
  • To improve engine efficiency and lower carbon emissions through optimized fuel formulations.
  • To demonstrate a novel AI methodology for rapid fuel design.

Main Methods:

  • Integration of a deep learning (DL) model for predicting fuel properties (pure components and mixtures).
  • Utilization of search algorithms for efficient navigation within the chemical space.
  • Development of a 'mixing operator' (MO) to represent mixture properties based on component vectors.

Main Results:

  • The DL model achieved prediction accuracy comparable to existing computational techniques for pure components.
  • The AI framework successfully generated multiple candidate fuel mixtures.
  • Demonstrated the design of a high-octane, low-sooting fuel meeting gasoline specifications.

Conclusions:

  • The AI-driven fuel design framework enables rapid development of optimized fuel formulations.
  • This methodology offers a pathway to simultaneously enhance engine efficiency and reduce emissions.
  • The integrated AI approach represents a significant advancement in fuel science and engineering.