Molecular dynamics · Materials Studio · COMPASS III

The density was right to three decimal places. The stiffness was wrong by a factor of fifteen.

An atomistic simulation of amorphous polyethylene, run to completion with a production forcefield and 43 hours of CPU time, returned a Young's modulus of 14–25 GPa for a material that measures below 1.5 GPa on any real grade you can buy. The interesting part is not that it was wrong. It is that the trajectory data says exactly why — and that the same data reproduced the density to within half a percent.

System
50 chains of C₂₀H₄₂, 3,100 atoms
Cell
27,482 ų · ~30.2 Å cube
Forcefield
COMPASS III v1.2
Equilibration
NVT, 298 K, Nosé, 1 fs × 200 ps
Elastic constants
Constant strain, 10 strains, εmax 0.025
Compute
43 h CPU, 28 threads, GPU-accelerated

The cell

Fifty polyethylene chains of twenty carbons each, packed into a periodic cube and relaxed. This is the actual structure the elastic constants were computed on — 3,100 atoms, exported from the simulation and rendered here in your browser. Chains extend past the box edge because coordinates are unwrapped: the cell is periodic, so a chain leaving one face re-enters the opposite one.

Loading structure…
Amorphous polyethylene cell, 3,100 atoms. Backbone view shows carbon only — for a polymer the chain paths are what you want to see, and hydrogens hide them. Drag to rotate.

What it got right

The equilibrated cell settled at a density of 0.854 g/cm³. Measured amorphous polyethylene sits at roughly 0.85 g/cm³. That is not a lucky coincidence — it is the kind of property atomistic simulation is genuinely good at, because density is an equilibrium packing property. It depends on how molecules sit next to each other, the forcefield was parameterised against exactly that, and it converges in tens of picoseconds.

Worth holding onto, because it is the reason the rest of the result is seductive. A simulation that nails one number invites you to trust the next one.

Simulated density0.854 g/cm³within 0.5% of measured
Young's modulus, simulated13.9 – 25.3 GPa10–100× measured
Young's modulus, real PE0.2 – 1.5 GPaLDPE through HDPE

What it got wrong

The full stiffness tensor, from a constant-strain calculation at ten strain magnitudes up to 2.5%:

Elastic stiffness constants Cij (GPa)
19.6210.0611.122.692.190.27
10.0633.3913.143.420.311.42
11.1213.1432.320.521.28-1.47
2.693.420.5211.95-1.13-0.44
2.190.311.28-1.138.831.65
0.271.42-1.47-0.441.6511.93

Reducing it: Hill-averaged bulk modulus 16.0 GPa, shear modulus 9.4 GPa, and directional Young's moduli of 13.9, 25.3 and 23.5 GPaalong X, Y and Z.

Look at those three numbers again. This is an amorphous cell — no crystallinity, no orientation, no processing history. It should be isotropic, and the three should agree. They differ by 80%. The anisotropy is not physics; it is the fingerprint of a single configuration that has not relaxed.

Why — three reasons, all visible in the data

1. The cell was never equilibrated, and the temperature hid it

The usual equilibration check is temperature, and temperature looks perfect. It starts wild — a standard deviation of 70 K over the first 2 ps, swinging between 199 K and 396 K as the thermostat fights random initial velocities — and settles to 297.8 ± 4.3 K over the final 100 ps. Textbook.

Temperature during NVT equilibration

K

thermostat transient183240297355412050100150200Simulation time (ps)10 ps meanper framesetpoint

The thermostat converges within about 10 ps and stays converged. Judged on this alone, the cell is equilibrated and ready.

Now the potential energy over the same run. It is still falling when the simulation stops. Between the 50–100 ps window and the 100–200 ps window the mean drops a further 67.8 kcal/mol, about 3.5%, with no plateau anywhere in sight.

Potential energy during the same run

kcal/mol

still descending at cut-off-2,501-1,915-1,330-744-158050100150200Simulation time (ps)10 ps meanper frame

The structure is still densifying and relaxing when the run ends. The elastic constants were computed on this configuration. A converged thermostat is not a converged structure — and this is the single most common way an MD result goes quietly wrong.

2. The chains are far too short to entangle

C₂₀H₄₂ is 282 g/mol. The entanglement molecular weight of polyethylene is roughly 1,000–1,400 g/mol. These chains are four to five times below it, which means the cell cannot contain an entanglement network — not because it was not equilibrated long enough, but because the molecules are not long enough for one to exist.

Entanglement is most of what governs the mechanical response of real polyethylene. Simulating twenty-carbon chains and reporting a modulus is closer to measuring a wax than a thermoplastic.

3. Constant-strain elastic constants measure the unrelaxed response

The method applies a strain, geometry-optimises the atoms into the deformed box, and reads the stress. There is no time axis in that procedure at all — it is effectively an infinite strain rate with no segmental relaxation permitted.

Polyethylene at room temperature is roughly 140 °C above its glass transition. It is viscoelastic, and its stiffness depends entirely on how long you give it to relax. Measuring it with relaxation switched off returns the glassy, instantaneous modulus — which is genuinely much higher than the engineering modulus, and is not the number anyone specifies against.

What I would change

  • Chains above the entanglement length — C₂₀₀ or longer at atomistic resolution, or a coarse-grained bead model if the timescales make atomistic impractical, which they usually do.
  • Equilibrate against potential energy, not temperature, under NPT, and run until the block means genuinely plateau. On this system that is nanoseconds, not 200 picoseconds.
  • Five to ten independent cells, averaged, with the scatter reported. One cell gives you a number with no error bar, and the 80% anisotropy above shows what that number is worth.
  • A finite-rate deformation protocol — or a stress-relaxation or oscillatory calculation — so the result carries a strain rate and can be compared with a real DMA measurement.
  • Anchor to one measured value before trusting any prediction.The density agreement here was the anchor that existed; there was no mechanical anchor, and that is precisely where it went wrong.

The point

I publish this one because the failure is more useful than a success would have been. It is a clean demonstration of something I tell clients constantly: simulation output is a hypothesis, not a measurement, and a number that arrives with no uncertainty and no validation against something you actually measured is not a result.

It is also the reason the first thing I do on any engagement is ask what has been measured, not what has been modelled. Models are cheap. Anchors are not.

Method, in full

Enough detail to disagree with me properly.

  • Construction — Amorphous Cell, 50 homopolymer chains of 10 ethylene repeat units (C₂₀H₄₂), 3,100 atoms, target density 0.85 g/cm³, final cell volume 27,482 ų.
  • Forcefield — COMPASS III v1.2, forcefield-assigned charges. Atom-based summation for both electrostatic and van der Waals terms, cubic spline truncation, 12.5 Å cutoff, 1 Å spline width, 2 Å buffer, long-range correction on.
  • Dynamics — Forcite, NVT, 298 K, Nosé thermostat with Q ratio 0.01 (Q = 55.06 kcal/mol·ps²), 1 fs timestep, 200,000 steps = 200 ps, random initial velocities.
  • Elastic constants — Forcite Mechanical Properties, constant strain, 10 strain magnitudes, maximum strain 0.025, no pre-optimisation. Smart algorithm geometry optimisation at each strain, energy tolerance 0.001 kcal/mol, force tolerance 0.5 kcal/mol/Å, 1,000 iteration cap, cell optimisation on, external pressure 0 GPa.
  • Compute — Materials Studio 2023, 28 parallel threads with GPU acceleration. 42 h 56 min CPU for the mechanical properties task, 8 min for the dynamics.
  • Reference values — amorphous PE density ≈ 0.85 g/cm³; Young's modulus ≈ 0.1–0.3 GPa (LDPE) and ≈ 0.8–1.5 GPa (HDPE); entanglement molecular weight ≈ 1,000–1,400 g/mol. These are textbook ranges, quoted as ranges deliberately.

Recognise this problem? If you are being shown simulation results without error bars, or a model that has never been anchored to something you measured, that is worth a conversation.

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