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.
Calibrated multi-fidelity model
Fit a correction to a lower-cost method, calibrate its residual uncertainty and evaluate it on an untouched test set.
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
Hydrogen · learned basis correction
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.
This decision applies to the supplied evaluation cases and declared error target.
Numerical checks & provenance
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 →