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Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
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Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

1.0K
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...
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Bending of Material: Problem Solving01:09

Bending of Material: Problem Solving

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In this lesson, determine the ratio of the maximum bending moments applied to two metal pipes, given that both pipes can withstand a maximum stress of 100 MPa. Both pipes have an outer radius of 1.8 cm. Pipe A has an inner radius of 1.5 cm, and Pipe B has an inner radius of 1 cm. The ratio of the maximum bending moment applied to two metallic pipes, each with a different inner and outer radius, is determined by considering their dimensions. The inner radius of the first pipe is 1.5 cm, and for...
342
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.7K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

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The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
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Related Experiment Video

Updated: Nov 8, 2025

Laser Micromachining for Polymer Surface Topography Design
05:49

Laser Micromachining for Polymer Surface Topography Design

Published on: September 19, 2025

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Bias free multiobjective active learning for materials design and discovery.

Kevin Maik Jablonka1, Giriprasad Melpatti Jothiappan2, Shefang Wang2

  • 1Laboratory of Molecular Simulation (LSMO), Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), Rue de l'Industrie 17, Sion, CH-1951, Switzerland.

Nature Communications
|April 20, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an active learning algorithm to efficiently identify optimal materials for complex applications with multiple objectives. It significantly reduces the number of simulations needed for accurate material discovery in large search spaces.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Machine Learning

Background:

  • Material design is straightforward for single objectives but complex for multiple, competing objectives.
  • Finding Pareto optimal materials is crucial when no single best material exists.

Purpose of the Study:

  • To develop and apply an active learning algorithm for computing Pareto optimal materials.
  • To address the challenge of de novo polymer design in large, complex search spaces.

Main Methods:

  • Utilized an active learning algorithm incorporating the Pareto dominance relation.
  • Applied molecular simulations to compute key descriptors for dispersant applications.
  • Integrated machine learning with simulations to navigate intractable design spaces.

Main Results:

  • Successfully computed the set of Pareto optimal materials with high accuracy.
  • Drastically reduced the number of required material evaluations.
  • Demonstrated efficient reconstruction of the Pareto front with desired confidence.

Conclusions:

  • Active learning effectively identifies Pareto optimal materials in multi-objective design.
  • Coupling simulation and machine learning enables discovery in previously intractable material spaces.
  • This approach accelerates the discovery of novel polymers for dispersant applications.