Coordination Number Calculator from Cation-Anion Ratio


Coordination Number Calculator from Cation-Anion Ratio

A smart tool to predict ionic crystal structures based on the radius ratio rule.


Enter the radius of the positive ion (cation).


Enter the radius of the negative ion (anion).


Select the unit for the ionic radii measurements.

Please enter valid, positive numbers for both radii.

Radius Ratio Rule Chart

Bar chart showing coordination number ranges based on radius ratio.

Visual representation of radius ratio ranges for different coordination numbers. The red line indicates your calculated ratio.

What is the Cation-Anion Radius Ratio Rule?

The cation-anion radius ratio rule is a fundamental principle in solid-state chemistry and materials science used to predict the coordination number (CN) and the geometry of crystal structures in ionic compounds. The rule is based on the relative sizes of the cation (the positively charged ion) and the anion (the negatively charged ion). By calculating the ratio of the cation’s radius to the anion’s radius, one can determine the most stable arrangement of ions in a crystal lattice, which maximizes electrostatic attraction while minimizing repulsion.

This calculator helps you easily calculate the coordination number using the cation-anion ratio. It’s an invaluable tool for students, researchers, and professionals who need to quickly predict the likely crystal structure of an ionic compound without complex crystallographic analysis. For example, if you calculate a cation-anion ratio of 0.555, this tool will instantly identify the corresponding coordination number and geometry.

The Radius Ratio Formula and Explanation

The formula to calculate the radius ratio is simple and direct:

Radius Ratio (ρ) = Radius of Cation (r+) / Radius of Anion (r-)

Once the unitless ratio (ρ) is calculated, it is compared against a set of established ranges to predict the coordination number and the shape of the coordination polyhedron (the geometric arrangement of anions around the central cation). An accurate crystallography analysis depends on understanding these values.

Variables Table

Description of variables used in the radius ratio calculation.
Variable Meaning Unit Typical Range
r+ Radius of the Cation pm or Å 50 – 200 pm
r- Radius of the Anion pm or Å 130 – 220 pm
ρ Radius Ratio Unitless 0.1 – 1.0
CN Coordination Number Unitless 2, 3, 4, 6, 8

Practical Examples

Example 1: Sodium Chloride (NaCl)

Let’s calculate the coordination number for Sodium Chloride, a classic example of the ionic bonding model.

  • Inputs:
    • Cation Radius (Na+): 102 pm
    • Anion Radius (Cl-): 181 pm
  • Calculation:
    • ρ = 102 / 181 = 0.564
  • Results:
    • Cation-Anion Ratio: 0.564
    • Predicted Coordination Number: 6
    • Predicted Geometry: Octahedral

The calculated ratio of 0.564 falls within the 0.414 – 0.732 range, correctly predicting the known octahedral structure of NaCl.

Example 2: Cesium Chloride (CsCl)

Now, let’s try an example with a larger cation, Cesium Chloride.

  • Inputs:
    • Cation Radius (Cs+): 167 pm
    • Anion Radius (Cl-): 181 pm
  • Calculation:
    • ρ = 167 / 181 = 0.923
  • Results:
    • Cation-Anion Ratio: 0.923
    • Predicted Coordination Number: 8
    • Predicted Geometry: Body-Centered Cubic

The ratio of 0.923 falls in the 0.732 – 1.000 range, correctly predicting the cubic structure of CsCl.

How to Use This Coordination Number Calculator

Using this tool to calculate the coordination number is straightforward. Follow these simple steps:

  1. Enter Cation Radius: Input the ionic radius of the positive ion (cation) into the first field.
  2. Enter Anion Radius: Input the ionic radius of the negative ion (anion) into the second field.
  3. Select Units: Choose the appropriate unit for your radii values from the dropdown menu (Picometers or Angstroms). The calculation will happen automatically.
  4. Interpret Results: The calculator will instantly display the predicted coordination number, the calculated cation-anion ratio, the corresponding crystal geometry, and the ratio range for that geometry. The dynamic chart will also update to show where your result falls.

Key Factors That Affect Coordination Number Prediction

While the radius ratio rule is a powerful predictive tool, several factors can influence the actual crystal structure. Understanding these is key to interpreting the results. A deep dive into solid-state chemistry basics reveals these nuances.

  1. Ionic Character: The rule assumes 100% ionic bonding. Significant covalent character in the bond can lead to deviations from the predicted structure.
  2. Pauling’s Rules: The radius ratio rule is the first of Pauling’s five rules for crystal structures. The other rules, especially regarding electrostatic valency, also play a role in determining the final stable structure.
  3. Pressure: Applying high pressure can force ions closer together, potentially favoring structures with higher coordination numbers than predicted at standard pressure.
  4. Temperature: Increasing temperature increases thermal vibrations, which can sometimes stabilize structures with lower coordination numbers.
  5. Polarization: If an ion is easily polarized (its electron cloud is distorted), it can affect bonding distances and angles, leading to structures different from the simple hard-sphere model.
  6. Stoichiometry: The chemical formula (e.g., AX vs. AX₂) dictates the relative number of cations and anions, which constrains the possible coordination numbers for each ion to maintain charge neutrality.

Frequently Asked Questions (FAQ)

What is a “coordination number”?

The coordination number (CN) is the number of nearest neighboring ions (or atoms) that surround a central ion in a crystal lattice.

Why is the cation-anion ratio important?

It provides a quick, geometric-based prediction of the most stable way for ions to pack in a crystal, which determines the crystal’s overall structure and many of its physical properties.

What does a cation-anion ratio of 0.555 mean?

A ratio of 0.555 falls into the range of 0.414 to 0.732. Therefore, you can calculate that the coordination number is 6, which corresponds to an octahedral geometry, like that found in NaCl.

Are the predictions from the radius ratio rule always accurate?

No, the rule is a guideline and works best for simple, highly ionic compounds. By some estimates, it’s accurate about two-thirds of the time. Factors like covalency and polarization can cause deviations.

What happens if the ratio is on the borderline between two ranges?

When a ratio is very close to a boundary (e.g., 0.414), the compound may exhibit polymorphism, meaning it can exist in either of the two corresponding crystal structures depending on conditions like temperature and pressure.

Does the unit (pm vs Å) change the result?

No. As long as you use the same unit for both the cation and anion radius, the ratio will be the same, and the predicted coordination number will not change. This calculator handles the units for you.

Can this calculator be used for covalent compounds?

No, the radius ratio rule is designed specifically for ionic compounds where atoms can be modeled as hard, charged spheres. It is not suitable for predicting the structure of covalent molecules where directional, shared-electron bonds dominate.

How does this relate to predicting crystal structure?

The coordination number and its associated geometry (e.g., tetrahedral, octahedral) are the fundamental building blocks of the larger crystal lattice. Predicting the local coordination is the first step in determining the overall unit cell and crystal structure.

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