CogLabThe Cognition Lab

Physics simulations

Materials Atlas · physics workbench

Model. Compare. Investigate.

Work from molecular geometry, crystal structure, processing conditions or a material stack. Inspect the physics, compare calculated results, and turn uncertainty into the next research question.

01 Define the system02 Review the method03 Calculate & check04 Compare & decide
Define your calculation

Calibrated multi-fidelity model

Fit a correction to a lower-cost method, calibrate its residual uncertainty and evaluate it on an untouched test set.

Scientific inputs
Method scope & sources

A bounded Gaussian-process delta model for one system, observable and explicit low/reference method pair.

  • All samples describe the same observable, units and method pair
  • Training, calibration and test sets have distinct feature coordinates
  • Calibration coverage is empirical; a posterior spread alone is not calibrated physical confidence

Delta machine learning ↗

Calculated result

Hydrogen · learned basis correction

Model calculation
Low-fidelity test MAE0.038435Hartree
Corrected test MAE7.822E-5Hartree
Eligible test coverage100%
Empirical calibration error bound0.00012672Hartree
Reference training cases7cases
total electronic+nuclear energy (Hartree)
-0.936290.58333-0.984460.79167-1.03261-1.08081.2083-1.12891.4167
H–H bond length (Å)
Withheld referenceResidual-corrected predictionLow-fidelity baseline
H–H bond length: 0.58333 Å · total electronic+nuclear energy: -1.1011 Hartree

Interpret the result

  • All paired observables describe the same system, units, normalization and conditions.
  • The reference-minus-low discrepancy is smooth within the training envelope.
  • Splits and hyperparameters were fixed before inspecting test results.

The training envelope is a numerical support check, not proof of chemical transferability.

Posterior scale is a model-based acquisition signal, not calibrated physical uncertainty.

Reference-method error and experimental uncertainty are not estimated by this correction.

Fewer than 19 eligible calibration cases: no finite 95% split-conformal interval is reported. The empirical calibration error bound is descriptive only.

Evaluation: advance

This decision applies to the supplied evaluation cases and declared error target.

Numerical checks & provenance
Residual solve consistency6.1062E-15 ≤ 1E-5 normalized residual

Passing these checks verifies the stated numerical properties. Agreement with experiment requires a separate, condition-matched comparison.

Input SHA-256: a097bfbc25612acce60491dd042324f954cb80287f033452562c8888c255f99d
Runner SHA-256: f27376d0f80371a1da4c926f1a21d43d841802e9f87bac7e876738ea78181e3d
atlas 1 · python 3.14.10 · numpy 2.5.4 · scipy 1.18.1 · baseline_sha256 dfa2749c659f4dec76d4b7a80bc6d79d31152f8817dfdd42215831fbc9d95d1f
Calculated 11/12/2026, 2:21:55 AM · 0.15338 s

Test the explanation

Compare a numerical refinement or a different physical assumption. Agreement within one model does not establish agreement with experiment.

Build the investigation

Bring the observable, conditions and result into a research plan with competing hypotheses and a test that can distinguish them.

Investigate this result →