| --- |
| language: |
| - en |
| license: mit |
| pretty_name: Passivation Layer Breakdown Mapping v0.1 |
| dataset_name: materials-passivation-layer-breakdown-mapping-v0.1 |
| tags: |
| - clarusc64 |
| - materials |
| - corrosion |
| - alloys |
| - electrochemistry |
| - failure-prediction |
| task_categories: |
| - tabular-regression |
| - 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 |
| --- |
| What this dataset tests |
|
|
| Whether a system can detect |
| loss of coherence between |
|
|
| electrochemical impedance |
| surface micro-pH |
| pit nucleation signals |
|
|
| before visible corrosion failure. |
|
|
| Corrosion begins as relationship collapse |
| not visible damage. |
|
|
| Required outputs |
|
|
| passivation_coherence_score |
|
|
| pit_growth_acceleration |
|
|
| breakdown_risk_flag |
|
|
| time_to_pitting |
|
|
| critical_surface_zone |
|
|
| protective_action |
| |
| Use case |
| |
| Marine alloys |
| chemical plants |
| energy infrastructure |
| aerospace |
| |
| Detect passivation collapse |
| before pitting cascade. |
| |
