Datasets:
metadata
language:
- en
license: mit
pretty_name: MSR Redox-Chemistry-Corrosion Coherence Baseline Mapping v0.1
dataset_name: msr-redox-chemistry-corrosion-coherence-baseline-mapping-v0.1
tags:
- clarusc64
- nuclear
- msr
- materials
- corrosion
- coherence
task_categories:
- tabular-classification
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
Dataset goal
Map the stable coherence relationship between molten-salt redox potential,
fission-product load, and structural alloy corrosion rate.
The dataset defines the baseline coherence basin for molten-salt reactor operation.
It allows models to recognize when chemistry and materials behavior remain in a
stable regime.
What this dataset tests
Whether a system can infer:
- baseline_coherence_index
- expected corrosion rate band
- redox stability band
- chemistry balance state
from reactor chemistry and materials signals.
Why it matters
Molten-salt systems fail when chemistry and corrosion decouple.
Failure is rarely triggered by a single threshold.
It emerges from gradual loss of coherence between:
- redox control
- fission product chemistry
- alloy response
This dataset establishes the stable reference manifold used by later
drift-detection and failure-horizon datasets in the series.
Use case
Foundation layer of the MSR corrosion-coherence trinity:
- Baseline mapping
- Drift detection
- Failure horizon routing