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

Characteristics of Dry Friction01:21

Characteristics of Dry Friction

532
Dry friction occurs when two solid surfaces slide against each other without any lubrication or fluid present. It causes resistance when pushing objects along a surface, like a gardener pushing a wheelbarrow. The force applied to move the cart causes dry friction between the wheel and the ground.
Before the wheelbarrow starts moving, the static frictional force acts tangentially to the contact surface, opposing the force that is about to induce the motion. This frictional force prevents the...
532
Types of Friction Problems01:27

Types of Friction Problems

526
Friction is an essential concept in physics, engineering, and everyday life. It is the force that opposes the relative motion or tendency of such motion between two surfaces in contact. One of the most common types of friction encountered in various applications is dry friction. Dry friction problems can be broadly categorized into three types, each with unique characteristics and challenges.
The first type of dry friction problem involves situations where there is no apparent impending motion....
526
Frictional Force01:07

Frictional Force

7.9K
When a body is in motion, it encounters resistance because the body interacts with its surroundings. This resistance is known as friction, a common yet complex force whose behavior is still not completely understood. Friction opposes relative motion between systems in contact, but also allows us to move. Friction arises in part due to the roughness of surfaces in contact. For one object to move along a surface, it must rise to where the peaks of the surface can skip along the bottom of the...
7.9K
Static and Kinetic Frictional Force01:05

Static and Kinetic Frictional Force

15.8K
One of the simpler characteristics of sliding friction is that it is parallel to the contact surfaces between systems, and is always in a direction that opposes the motion or attempted motion of the systems relative to each other. If two systems are in contact and moving relative to one another, then the friction between them is called kinetic friction. For example, kinetic friction slows a hockey puck sliding on ice.
However, if two systems are in contact and are stationary relative to one...
15.8K
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

558
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
558
Friction: Problem Solving01:21

Friction: Problem Solving

218
Friction is an essential force that influences the motion of objects in daily life. Depending on the situation, it can be either beneficial or problematic. Consider a bus with a mass of three megagrams and its center of mass at a specific point, moving along a banked road at a constant speed. The coefficient of static friction between the tires and the road is 0.5. Find the maximum angle of the banked road at which the bus would not slip or tip.
Initially, a visual representation of the...
218

You might also read

Related Articles

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

Sort by
Same author

Nanorod Pair Complexes Manipulated via Magnetic Casimir Forces.

Nano letters·2026
Same author

Conventional and Valley-Polarized Quantum Anomalous Hall Phases in Ti-Cr-C MXenes.

Nano letters·2025
Same author

Radiative Heat Transfer and 2D Transition Metal Dichalcogenide Materials.

The journal of physical chemistry letters·2025
Same author

Defect Engineered Few Layered MoS<sub>2</sub> for Human-Machine Interface.

Small methods·2025
Same author

Valley-Polarized Topological Phases with In-Plane Magnetization.

Nano letters·2024
Same author

Confinement-induced nonlocality and casimir force in transdimensional systems.

Physical chemistry chemical physics : PCCP·2023
Same journal

DNAzyme-Enhanced CRISPR/Cas12a Cascade Enables Isothermal, One-Pot RNA Diagnostics.

ACS applied materials & interfaces·2026
Same journal

Continuous π-Conjugation in β-Ketoenamine Covalent Organic Frameworks Boosts Charge Transfer for Selective Photocatalysis.

ACS applied materials & interfaces·2026
Same journal

Scalable Ionogel-Based Thermochromic Smart Windows: Enhanced Solar Regulation, Weatherability, and Processability.

ACS applied materials & interfaces·2026
Same journal

Metal-Organic Framework Monoliths Derived from Emulsion-Templated Foams for Reactive Filtration.

ACS applied materials & interfaces·2026
Same journal

Binary to Quaternary Rare-Earth Phosphates: Compositional Effects on Thermal Properties and CMAS Corrosion Resistance of Environmental Barrier Coatings.

ACS applied materials & interfaces·2026
Same journal

Suture-Free Piezoelectric Band-Aid Membrane for Complex Peripheral Nerve Defects.

ACS applied materials & interfaces·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K

Frictional Properties of Two-Dimensional Materials: Data-Driven Machine Learning Predictive Modeling.

Ranjan Kumar Barik1, Lilia M Woods1

  • 1Department of Physics, University of South Florida, Tampa, Florida 33620, United States.

ACS Applied Materials & Interfaces
|July 17, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed a data-driven approach using machine learning to predict friction properties of 2D materials. This method links material features to adhesion and energy, aiding the design of advanced tribological systems.

Keywords:
SHAP analysisfrictionlayered materialsmachine learningvan der Waals interaction

More Related Videos

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.1K
Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials
10:18

Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials

Published on: January 5, 2019

11.6K

Related Experiment Videos

Last Updated: Jun 20, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.1K
Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials
10:18

Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials

Published on: January 5, 2019

11.6K

Area of Science:

  • Materials Science
  • Tribology
  • Computational Materials Science

Background:

  • Friction is a critical factor affecting machine efficiency and reliability, heavily dependent on material properties.
  • Two-dimensional (2D) materials offer novel opportunities for engineering tribological performance.
  • Understanding the energetic contributions to friction, such as adhesion and van der Waals forces, is key.

Purpose of the Study:

  • To develop a statistical approach for predicting energetic properties related to friction in monolayered materials.
  • To link these energetic properties to accessible atomistic and monolayer features using machine learning.
  • To establish a data-driven framework for interpreting frictional properties and designing materials with desired tribological characteristics.

Main Methods:

  • Utilized high-throughput simulations to generate a large dataset of monolayered materials.
  • Employed machine learning models to analyze adhesion, van der Waals, and corrugation energies.
  • Correlated predicted energetic properties with fundamental atomistic and monolayer features.

Main Results:

  • Successfully developed machine learning models capable of predicting key friction-related energetic properties.
  • Established clear links between these energetic properties and easily accessible material features.
  • Demonstrated the predictive power of data-driven models in understanding structure-property relationships for friction.

Conclusions:

  • The data-driven approach significantly advances the materials perspective on frictional properties.
  • Machine learning is highly effective in discovering structure-property functionalities relevant to tribology.
  • This methodology provides a fruitful route for designing novel tribological materials with tailored performance.