Freely Jointed Chain Calculator

Explore chain statistics from segments, temperature, and force. Switch between forward and inverse Langevin modes. Download clean tables, plots, and reports for workflows instantly.

Calculator

Choose a mode, enter values, then calculate.
Fields marked * are required.
Number of rigid links.
Often treated as Kuhn length.
Used through kBT.
Typical single-molecule forces: 0-100 pN.
Must satisfy |x| < N b.

Formula used

The freely jointed chain (FJC) treats a polymer as N rigid segments of length b with free joint angles. The contour length is Lc = N b.

  • Mean-squared end-to-end distance: <R^2> = N b^2, so R_rms = b \sqrt{N}.
  • Dimensionless force: y = F b / (k_B T).
  • Langevin function: L(y) = coth(y) - 1/y.
  • Mean extension under constant force: <x> = Lc \; L(y).
  • Constant-force free energy: G(F) = -N k_B T \; ln( sinh(y) / y ).
  • Inverse mode uses an accurate rational approximation for L^{-1} to estimate force from x/Lc.

Small-force limit: <x> \approx (F/k_0) with k_0 = 3 k_B T / (N b^2).

How to use this calculator

  1. Select a mode: force-to-extension, extension-to-force, or statistics only.
  2. Enter N, b (nm), and T (K).
  3. Provide either force F (pN) or extension x (nm), depending on mode.
  4. Click Calculate. Results appear above the form.
  5. Use Download CSV or Download PDF to export the result tables.

Example data table

N b (nm) T (K) F (pN) Approx. <x> (nm) Fraction <x>/Lc
100 1.0 298.15 1.0 8.05 0.0805
300 0.7 310 3.0 88.4 0.421
50 1.5 295 10 61.9 0.826
Values are illustrative; your results depend on inputs and rounding.

Article

1. Freely jointed chain in polymer physics

The freely jointed chain (FJC) is a baseline model for flexible polymers. It represents a molecule as N rigid links of length b connected by frictionless joints. The model captures entropic elasticity: stretching reduces the number of available conformations, creating a restoring force even without energetic springs.

2. Inputs and physically meaningful ranges

Your key inputs are N, b, and temperature T. The contour length is Lc = N b and sets the maximum extension. b is often used as an effective Kuhn length. Choose N and b so Lc matches your polymer.

3. Dimensionless force and the Langevin function

The calculator forms the dimensionless force y = F b/(kB T). The mean fractional extension is L(y) = coth(y) - 1/y, and the mean extension is <x> = Lc L(y). At small y, L(y) ≈ y/3, giving a near-linear spring. At larger y, L(y) approaches 1, reflecting finite extensibility.

4. Useful reference numbers for interpretation

At 298 K, kB T ≈ 4.11 pN·nm. With b = 1.0 nm and F = 1 pN, y ≈ 0.24 and <x>/Lc ≈ 0.08. At F = 10 pN, y ≈ 2.4 and the chain nears high extension, so extra force yields smaller extension gains.

5. Small-force elasticity and effective stiffness

In the weak-stretch regime, the FJC reduces to a Hookean response with k0 = 3 kB T/(N b^2). This is helpful when comparing to bulk moduli or when checking consistency across datasets. Because k0 scales as 1/N, longer chains are softer, while increasing b stiffens the response in this regime.

6. Thermodynamic output and constant-force free energy

The calculator also reports the constant-force free energy G(F) = -N kB T ln(sinh(y)/y). It is useful for work estimates, temperature scaling, and fitting force-clamp data where extension and free-energy trends are analyzed together.

7. Inverse mode for fitting experimental curves

Many experiments measure extension and need the force. Inverse mode estimates y ≈ L-1(x/Lc) using a stable rational approximation, then returns F = y kB T/b. This is suitable for quick parameter sweeps and initial fits. Near |x/Lc| -> 1, the inverse becomes sensitive, so keep the extension fraction below unity.

8. Assumptions, limitations, and reporting

The FJC ignores bending stiffness, self-avoidance, and bond stretching. Semiflexible chains may fit better with worm-like chain models. At very high force, energetic stretching and instrument compliance matter. Export results to archive inputs, units, and derived values.

FAQs

1) What does N represent in this model?

N is the number of rigid segments. Increasing N increases contour length Lc = N b and reduces small-force stiffness k0. Choose N so Lc matches the physical chain length you are modeling.

2) Why is b sometimes called the Kuhn length?

For coarse-grained descriptions, b can represent an effective segment length that reproduces the chain's large-scale statistics. In that sense it plays the role of a Kuhn length, even if the microscopic bonds are smaller.

3) What units should I use for force and length?

Use pN for force, nm for lengths, and K for temperature. The calculator converts kB T into pN·nm internally, keeping y dimensionless and outputs consistent for common single-molecule datasets.

4) Why must |x| be less than Lc?

Lc is the maximum end-to-end length if every segment aligns. The FJC cannot exceed this limit, so the inverse calculation requires |x/Lc| < 1. Values near 1 become numerically sensitive.

5) When is the linear spring approximation reliable?

When y = F b/(kB T) is small, typically below ~0.2, the Langevin function is nearly linear. In that regime, x ≈ F/k0 and the calculator also reports a small-force check for comparison.

6) Does this model include excluded volume effects?

No. The basic FJC assumes ideal statistics with freely crossing segments. In good solvents or crowded environments, self-avoidance can change scaling and extension. Use the FJC as a baseline or fit with corrections if needed.

7) How should I cite or report results from this tool?

Report the chosen mode, inputs (N, b, T, and F or x), and units. Include Lc and the fractional extension x/Lc. Export CSV for records and PDF for sharing with collaborators or lab notes.

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