Overview
The composition mode walks through mass → moles → ratios → integerisation → empirical formula. Molecular mode checks whether a target molar mass matches the empirical unit within tolerance. Combustion mode converts CO₂ and H₂O masses into CHO ratios, while Hydrate mode estimates xH₂O from mass loss.
Download the whole trail as CSV or grab a shareable URL via Ctrl+S / Ctrl+L. Integerisation tolerance, maximum multiplier k, GCD reduction, Hill ordering, and custom atomic weights help align the tool with lab data or course conventions.
Calculator
Integerisation & atomic weight settings
Results
How it's calculated
FAQ
Can I combine percent and gram data in Composition mode?
Absolutely. Percent inputs are converted using the standard 100 g assumption, while gram inputs stay untouched. Each conversion step is logged so the class can follow the algebra.
What if oxygen from combustion becomes negative?
The app flags a warning and keeps the intermediate ratios so you can revisit the measurements or include other hetero atoms such as N, S, or Cl.
Do share links capture my settings?
Yes. Shared URLs embed tolerance, max k, the GCD toggle, element ordering, and any custom atomic weights, ensuring reproducible results.
What should I do first on this page?
Start with the minimum required inputs or the first action shown near the primary button. Keep optional settings at defaults for a baseline run, then change one setting at a time so you can explain what caused each output change.
Why does this page differ from another tool?
Different pages often use different defaults, units, rounding rules, or assumptions. Align those settings before comparing outputs. If differences remain, compare each intermediate step rather than only the final number.
How to use Empirical formula calculator — molecular formula & steps effectively
What this calculator does
This page is for estimating outcomes by changing inputs in one controlled workflow. The model keeps your focus on variables, not output shape. Start with stable assumptions, then test sensitivity by changing one key input at a time to observe directional impact.
Input meaning and unit policy
Each input has an expected unit and a typical range. For reliable interpretation, check whether you are using the same unit system, period, and base assumptions across all runs. Unit mismatch is the most common source of unexpected drift in numeric results.
Use-case sequence
A practical sequence is: first run with defaults, then create a baseline log, then run one alternative scenario, and finally compare only the changed output metric. This sequence reduces cognitive load and prevents false pattern recognition in early experiments.
Common mistakes to avoid
Avoid changing too many variables at once, mixing incompatible data sources, and interpreting a one-time output without checking robustness. A single contradictory input can flip conclusions, so keep each experiment minimal and document assumptions as part of your note.
Interpretation guidance
Review both magnitude and direction. Direction tells you whether a strategy moves outcomes in the desired direction, while magnitude helps you judge practicality. If both agree, you can proceed; if not, rebuild the baseline and verify constraints before deciding.