Young-Laplace Equation Calculator

Connect a small bubble to a large one and the small one empties — the intuition is exactly backwards.

Clear
Pressure difference145.6 Paacross the single interface
As a fraction of atmospheric0.143696%
In millimetres of water14.8471 mm
At a tenth of this radius1,456 Pathe pressure goes as one over the radius
At a hundredth14,560 Pa
If it were a bubble291.2 Paexactly a factor of two, from the second surface
Connect a small bubble to a large one and the small one empties into the large one — its pressure is higher, not lower. The intuition that they equalise is exactly backwards.

The formula

dP = 2 gamma / r for one surface, 4 gamma / r for a bubble

Small means high pressure

The pressure jump across a curved surface goes as one over the radius, so the smaller the droplet the harder it squeezes. A one-millimetre water droplet holds about 146 Pa above its surroundings; a one-micrometre droplet holds 146,000. This is why fine mists evaporate so much faster than the same water in a puddle, and why the alveoli in your lungs need a surfactant to keep the smallest ones from collapsing into the larger.

A bubble has two surfaces

A droplet of liquid in air has one interface. A soap bubble has an inner and an outer surface with a thin film between, so the pressure difference is twice as large for the same radius. Getting this factor wrong is the standard error, and it is a factor of two rather than something subtle.

Why two bubbles do not equalise

Connect a small bubble to a large one and the small one empties into the large one, because its pressure is higher. The intuition that they would even out is exactly backwards, and the demonstration is a staple of first-year lectures for that reason.

Where these models stop

Michaelis-Menten assumes a single substrate and a steady state; Langmuir assumes one layer on identical sites with no interaction between them; Stokes-Einstein assumes a hard sphere much larger than the solvent molecules around it. Each is an idealisation that happens to describe real systems well over a useful range, and each fails predictably outside it. Knowing which assumption a number rests on is usually more valuable than the number.