How do I simulate an ideal gas?

Open this page and use the live Gas Process Kit tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.

Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.

Can I use my own numbers?

Absolutely — every input is adjustable, and with data import you can drive an ideal gas from your own measurements.

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Gas Process Kit for an ideal gas

Simulate an ideal gas live in your browser. This runs the real Gas Process Kit solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

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Ideal Gas

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Ideal Gas Law (PV = nRT)Live

pressure · volume · temperature · moles

Pressure

104

kPa (1.03 atm)

Controls

Set moles, temperature, and volume — pressure follows from PV = nRT. Compress the volume or heat the gas and watch the pressure climb.

Presets

Moles (n)

Temperature (K)

Volume (L)

▶ Run in Python

Data Inspector

Pressure103.9 kPa

≈ atm1.03

Mean speed vs 300 K1.00x

LawPV = nRT

Governing equation

P V = n R T : 103.9 kPa \times 24 L = 1 mol \times 8.314 \times 300 K

Reading this result: At 300 K, 1 mol in 24 L, PV = nRT gives about 103.9 kPa (1.03 atm). Mean molecular speed scales with the square root of temperature, so this gas moves about 1.00x as fast as it would at 300 K. Around room temperature the molecules carry moderate kinetic energy. Expanding the volume spreads the molecules out, lowering the collision rate and the pressure.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Maxwell Boltzmann

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Maxwell–Boltzmann DistributionLive

molecular speeds in a gas

Controls

Gas molecules do not all move at one speed — they spread into this distribution. Heat the gas or lighten the molecule and the curve broadens and shifts faster.

Presets

Temperature (K)

Molar mass (g/mol)

▶ Run in Python

Data Inspector

Most probable0 m/s

Average0 m/s

RMS0 m/s

Governing equation

f (v) = 4 π (\frac{m}{2 π k T})^{3/2} v^{2} e^{- m v^{2} /2 k T}, v_{p} = \frac{2 k T}{m} = 0 m/s at T = 300 K

Reading this result: The peak (v_mp 0 m/s) sits below the average and RMS speeds because the long high-speed tail pulls those means upward.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Gas

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Gas in a Box — Kinetic TheoryLive

ideal gas · pressure from collisions

Controls

Speed1×

Pressure emerges from molecules hammering the walls. More particles or higher temperature → higher pressure, exactly as PV = nRT predicts.

Presets

Particles (n)

Temperature

▶ Run in Python

Data Inspector

Particles120

Temperature3.0

Pressure (wall)0

LawPV = nRT

Governing equation

P V = N k_{B} T, N = 120, T = 3.0

Reading this result: Pressure scales with both particle count and temperature: doubling either roughly doubles the force on the walls (P ∝ nT).

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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About this simulation

The full Gas Process Kit tool models an ideal gas with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

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Frequently asked questions

How do I simulate an ideal gas?: Open this page and use the live Gas Process Kit tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?: Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?: Absolutely — every input is adjustable, and with data import you can drive an ideal gas from your own measurements.