FLUXMATERIA — CHEMISTRY
Every bond, from first principles.
Bond lengths and bond dissociation energies for 64 elements. 1,361 validated observables. First principles, not fits. Sub-millisecond per query.
FLUXMATERIA — CHEMISTRY
Bond lengths and bond dissociation energies for 64 elements. 1,361 validated observables. First principles, not fits. Sub-millisecond per query.
453 validated bonds: single, double, triple, aromatic. 0.079% mean error vs experimental data.
908 validated BDEs across singles, doubles, and triples. 0.289% mean error. 870/906 within 1%.
Hess’s law from BDE differences. Coverage for transition metal, p-block, and s-block bonds.
Query thousands of bonds per second. Export full catalogs. 2,080 element pairs computable.
Bond lengths feed directly into molecular geometry construction for 3D visualization.
Every prediction includes the computed value, experimental reference, error percentage, and data provenance.
Head-to-head against every major approach to bond properties
| Metric | FluxMateria | DFT (B3LYP) | CCSD(T) | Empirical Tables |
|---|---|---|---|---|
| Bond length error | 0.079% | 1–3% | ~0.5% | 0% (where listed) |
| Bond energy error | 0.289% | 3–10% | 1–3% | 0% (where listed) |
| Speed per bond | <1 ms | Minutes to hours | Hours to days | <1 ms (lookup) |
| Validated coverage | 1,361 observables | Typically <50 per study | <20 per study | ~300 (fixed catalog) |
| Predict new bonds | 2,080 pairs, instant | Hours per bond | Days per bond | Not possible |
| Trend analysis | Yes (continuous model) | Yes (re-run series) | Yes (re-run series) | No (discrete values) |
| Physical model | First-principles (0 fitted) | First-principles | First-principles | None (raw data) |
The key insight: Empirical tables are exact but frozen — they cannot predict unmeasured bonds or reveal trends. DFT and CCSD(T) can predict anything but cost hours to days per bond. FluxMateria combines first-principles accuracy with lookup speed across 2,080 element pairs. See full benchmark data →
Enter a bond type (e.g. C–H, Fe=O, N#N) or element pair
Engine returns length (pm) and energy (eV) with experimental reference
See FLUX prediction vs experimental value with error percentage
Download full catalogs or feed into downstream modules
Bond data is foundational — it powers multiple downstream capabilities.
Activation barriers computed from BDE differences. 908 bonds provide comprehensive coverage for Hess’s law calculations.
Route planning uses FLUX-derived barriers. Bond energies determine thermodynamic feasibility of disconnections.
Molecular geometry construction uses engine bond lengths as primary source. Covers aromatic, double, and triple bonds.
IR and Raman predictions require accurate bond force constants, derived from bond length and energy curves.
Query any bond. See the prediction. Compare against experiment.