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Crystal Unit Cell Density Calculator

Find the density of a crystalline solid from its unit cell edge, atoms per cell and molar mass.

Inputs

Results

Density8.935107g/cm³

Chart

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How to use the crystal unit cell density calculator

Find the density of a crystalline solid from its unit cell edge, atoms per cell and molar mass. Enter atoms per unit cell, molar mass, cell edge length in the fields above; the density is computed instantly and plotted on the chart so you can see how the answer changes.

Common searches this calculator answers include “crystal density”, “unit cell density”, “density of metal lattice”, “calculate crystal unit cell density”, “find density”.

Formula

Density (g/cm³) = Z × M / (NAV × (a × 1e-7)^3)

Variables

  • Z — Atoms per unit cell
  • M — Molar mass (g/mol)
  • a — Cell edge length (nm)

Worked example

With atoms per unit cell = 4, molar mass = 63.55 g/mol, cell edge length = 0.3615 nm, the calculator gives density ≈ 8.935107 g/cm³.

Frequently asked questions

What is the crystal unit cell density calculator used for?

Find the density of a crystalline solid from its unit cell edge, atoms per cell and molar mass. It helps with questions such as “crystal density”, “unit cell density”, “density of metal lattice”.

What is the formula for the crystal unit cell density calculation?

Density (g/cm³) = Z × M / (NAV × (a × 1e-7)^3). Here Z is atoms per unit cell, M is molar mass (g/mol), a is cell edge length (nm).

What inputs do I need for the crystal unit cell density calculator?

You need atoms per unit cell, molar mass in g/mol, cell edge length in nm. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.

How do I use the crystal unit cell density calculator?

Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.

Is the crystal unit cell density result exact?

Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.

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