IP Topics

3D view of forces on parallel currents using GeoGebra

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The simulation serves to show how the magnetic field of one current-carrying wire exerts a force on another current-carrying wire.

When two wires are placed parallel to each other and carry electric currents, each wire produces its own magnetic field. The magnetic field around a straight current-carrying conductor forms concentric circles, and the direction of these circles can be determined by the right-hand grip rule: if you point your thumb along the direction of the current, your curled fingers show the direction of the magnetic field lines.

Because of this, one wire is always sitting inside the magnetic field created by the other. The moving charges in the second wire—that is, the current—interact with this magnetic field and experience a force. The strength of the force depends on the current in both wires and the distance between them, while the direction of the force can be worked out using Fleming’s left-hand rule or simply by considering how the two fields interact.

Magnetic field patterns between two parallel currents interact in such a way as to form either an attraction (for currents in same direction) or a repulsion (for opposite currents)

If the currents in the two wires flow in the same direction, the magnetic fields between the wires reinforce each other, producing a stronger field outside the pair and a weaker field between them. This imbalance pulls the wires towards each other, so they attract. On the other hand, if the currents run in opposite directions, the magnetic fields between the wires reinforce instead, while the fields outside are weakened. The result is a pushing apart of the two wires, so they repel each other.

In short, the force on parallel wires arises because each wire generates a magnetic field that acts on the current in the other. Identifying the force is straightforward once you know the directions of the currents: currents in the same direction cause attraction, while currents in opposite directions cause repulsion.

Displacement-distance graph and displacement-time graph of a wave

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Click here for full view.

Exploring Wave Properties Through Interactive Simulations

One of the most powerful ways to learn about waves is not just by reading definitions, but by seeing them in action. This simulation allows you to adjust amplitude, frequency, wavelength, and speed and watch how the wave’s behavior changes over time and space.

By the end of this activity, you should be able to:

  1. Define and use the terms speed, frequency, wavelength, period, and amplitude, and connect them to what you see on the graphs.
  2. Recall and apply the relationship $v = f \lambda$ to new situations and solve related problems.

How to Interact With the Simulation

Two Graphs, Two Perspectives

  • The top graph (Displacement vs Distance) shows the shape of the wave along space at a single instant.
  • The bottom graph (Displacement vs Time) shows how a single particle moves up and down as time passes.

Controls

  • Use the sliders to change Amplitude, Frequency, Wave Speed, and Wavelength.
  • Press Start Animation to see the wave move. Press it again to stop.
  • Press Reset to return to default values.

What happens when you…

  • Increase Amplitude → The wave gets taller, but the speed and wavelength stay the same.
  • Increase Frequency → More oscillations appear in the same time, and the particle on the time graph moves faster up and down.
  • Change Wavelength → The distance between crests and troughs changes on the distance graph.
  • Change Speed → The wave travels faster across the distance graph.

Use these questions as you experiment with the sliders:

Amplitude

  • How does increasing amplitude affect the wave’s appearance on both graphs?
  • Does amplitude change the wave speed?

Frequency and Period

  • Observe the bottom graph: How many oscillations occur in one second when frequency is 1 Hz? What is the period (time for one cycle)?
  • What happens to the period when you double the frequency?

Wavelength

  • On the top graph, how do the positions of the crests and troughs change as you adjust the wavelength slider?
  • Can you measure one wavelength directly from the graph?

Wave Speed Relationship

  • Try setting frequency = 2 Hz and wavelength = 150 mm. What is the predicted wave speed using $v = f \lambda$
  • Now observe the simulation: Does the wave move across the distance graph at that speed?
  • Repeat for another set of values (e.g. f=0.5 Hz, λ=300 mm). Does the relationship still hold?

Connecting Both Graphs

  • Watch the red dot on the distance graph (a fixed point on the medium). How does its motion compare with the displacement–time graph?
  • Why does the red dot’s vertical motion look like a sine wave over time?

Simulation on Radioactive Decay using Dice

A simulation based on the casting of dice can be used to demonstrate the concept of half-life. Imagine a certain number of dice being cast together. All the dice that show a six are removed from the population. The remainder are cast again repeatedly, and each time, those that show a six are removed.

The question posed to students is : around which cast will the number of dice be reduced to half the original?

Here is the simulation:

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Lens Ray Diagram Simulation

I initially wanted to modify my GeoGebra applet on the converging lens ray diagram to include the case for infinitely far objects but thought I should give Claude.ai a try to generate one using javascript. It went very smooth. I merely took a screenshot of the original GeoGebra applet for reference, and used the following prompts: “Refer to this geogebra applet and make a html5 version. The user can change the focal length, the lens position and object height using mouse clicks or touchscreen drags. Keep the size responsive. Keep the buttons as overlays.” There were a few iterations after that but the first iteration was already good enough as a minimum-viable product.

This is the screenshot of the original applet that was used as reference by Claude.ai.

This is the end product:

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Access the full version here.

Lennard-Jones Potential

Open simulation here. This was built using Claude.AI, which I notice, is better at suggesting UI features than ChatGPT or Gemini. I did not put too much effort into this as I only wanted to explain to upper sec IP students why intermolecular forces need not always be attractive, as well as to link it to the potential energy between particles in the kinetic particle model of matter.

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Charging Two Conductors by Induction Simulation

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Following a previous simulation on charging by induction, this simulation allows students to investigate the effects of performing the actions of bringing or removing a charged rod near a pair of conducting cans that can be placed in contact or separated-in any order they choose. Each sequence produces a distinct outcome: the cans may finish with opposite charges or both neutral. The simulation makes the invisible electron shifts clear, helping learners see exactly when charge flows between cans and when it merely redistributes inside a single conductor.

The above screenshot shows one possible state of the charges after a particular sequence of buttons are clicked. Could you figure out what is the order of buttons pressed?