Mean Molecular Weight (MME) Calculator
Calculate the amount-weighted average molecular mass of a mixture and each component's proportion.
About mean molecular weight
Mean molecular weight examples
| Components | Weighted mean | Interpretation |
|---|---|---|
| 10 parts at 18.015 g/mol and 10 parts at 46.07 g/mol | 32.04 g/mol | Equal amounts give the arithmetic mean. |
| 2 parts at 58.44 g/mol and 8 parts at 18.015 g/mol | 26.10 g/mol | The second component supplies 80% of the weight. |
| 1 mol at 2.016 g/mol, 3 mol at 28.014 g/mol, and 1 mol at 31.998 g/mol | 23.61 g/mol | A three-component mole-weighted gas mixture. |
How to calculate mean molecular weight
- Choose one consistent amount basis, such as moles or molecule counts, for every component.
- Enter the amount and molecular weight of each component as a complete pair.
- Add or remove component rows until the mixture composition is represented.
- Calculate the weighted mean and review the displayed component proportions.
Frequently asked questions
What formula does the calculator use?
It divides the sum of each amount multiplied by its molecular weight by the total amount. This is an amount-weighted arithmetic mean.
Must all amounts use the same unit?
Yes. The numeric amounts must share one consistent basis so their ratios and displayed proportions are meaningful.
Can I enter component masses?
The arithmetic will accept any consistent positive amounts, but mass weighting is not the same as molecule or mole weighting. Convert masses to moles first when calculating a mixture's molar mass from chemical abundance.
Why is a weighted mean different from a simple average?
A simple average treats every listed component equally regardless of quantity. A weighted mean reflects how much of each component is present.
Does this calculate polymer number-average or weight-average molecular weight?
Not directly unless the entered amounts and molecular weights already represent the appropriate distribution and weighting basis. Polymer characterization often requires specialized definitions and measured distribution data.