Experiments · E34

Does blending one element into another smooth the energy landscape, even for very different metals?

Withdrawn. Replaced by an exact calculation: the answer is still yes, seven of eight paths are smooth, and the bumps seen here were sampling noise.

In the log: Smearing smooths this landscape most where the chemistry differs most

supersededDate 2026-09-12, as written in the logunclassified0 predictions · 1 result paragraphEXPERIMENTS.md lines 1684–1743
exp E34 diagram
What E34 did and how it came out, drawn from this record and the files it names (book/assets/diagrams/exp/E34.svg).

Results

EXPERIMENTS.md · line 1710

Result, 16 sites, composition fixed:

The full record

EXPERIMENTS.md · lines 1684–1743

E34 — Smearing smooths this landscape most where the chemistry differs most

Date 2026-09-12 · Question (operator) Smearing occupation numbers is what DFT does to make a discontinuous function differentiable. Does the same trick smooth a discrete occupancy landscape here? · Provenance …/{smearing,smearing2}.py

Background. Interpolating between chemical elements to turn discrete ordering into a continuous surface is a published method - Kaappa, Larsen and Jacobsen, Phys. Rev. Lett. 127, 166001 (2021) - which solves systems with over 10^6 orderings in tens of energy calculations where the non-interpolating variant fails. It was demonstrated on Au-Cu and Cu-Ni: periodic-table neighbours, where a half-and-half atom is a reasonable thing to imagine. These eight elements span groups 4 to 6, and the open question was whether the trick survives chemistry that different.

Method. Walk from an arrangement to its exchange, swapping j sites each way so the composition never changes, and average over which sites are swapped - the ensemble of all ways to be j swaps along. That isolates the ordering degree of freedom. A smooth interpolation gives a path with one turning point; a rugged one wanders.

A first attempt was wrong and is recorded as such. Letting each site draw its element independently does not preserve composition - at the midpoint it averaged over configurations holding anywhere from none to all of one element - and since mixing energy depends far more on composition than on arrangement, the path measured composition fluctuation. It returned deviations of thousands of meV/atom, which is what a broken measurement of a ten-meV quantity looks like.

Result, 16 sites, composition fixed:

pair groups span turning points noise
Ti-W 4-6 31.7 1 0.50
Hf-W 4-6 24.9 1 0.53
Nb-Mo 5-6 7.1 1 0.22
Mo-W 6-6 7.2 1 0.17
Ti-Nb 4-5 6.2 1 0.10
Ti-Zr 4-4 3.4 5 0.27
Zr-Mo 4-6 2.3 6 0.53
Nb-Ta 5-5 0.5 3 0.04

meV/atom. The pairs whose chemistry differs most give the smoothest paths and the largest signal - a single turning point over spans of 25 to 32 meV/atom. The prediction on record before this ran was the opposite, that interpolating Hf into W would be too unphysical to smooth anything.

Why, in hindsight. Ti-W and Hf-W carry large mismatches in size and electronegativity, so ordering is strongly driven and the landscape has one deep basin. Nb-Ta are nearly interchangeable, the alloy is close to ideal, and the landscape is flat - the wandering in those rows sits at 0.5 to 3 meV/atom, a scale at which it hardly matters what shape it is. Ruggedness and weak chemistry arrive together, and so do smoothness and strong chemistry.

Consequence. The concern raised against the operator's proposal does not hold, and the continuous relaxation should work here - most reliably on exactly the strongly interacting pairs that carry the prize. It also means the combinatorial problem is not a regime where kernel methods are structurally weak, which was the premise of the redirection proposed in E33 and withdrawn here.

Caveats. Two-element exchange paths in a 16-site cell, with all other sites fixed; the full eight-element landscape is not this. Nine points per path makes "one turning point" a coarse statement. And smoothness along a path between two arrangements is weaker evidence than smoothness of the whole surface.

Related entries

Built with PRISMWebsite and visualizations made using Claude